5.2
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Corrigendum
Current Issue
Editorial
Erratum
Full Length Article
Full lenth article
Letter to Editor
Original Article
Research article
Retraction
Retraction notice
Review
Review Article
SPECIAL ISSUE: ENVIRONMENTAL CHEMISTRY
5.3
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Corrigendum
Current Issue
Editorial
Erratum
Full Length Article
Full lenth article
Letter to Editor
Original Article
Research article
Retraction
Retraction notice
Review
Review Article
SPECIAL ISSUE: ENVIRONMENTAL CHEMISTRY
View/Download PDF

Translate this page into:

Original Article
12 (
8
); 2882-2896
doi:
10.1016/j.arabjc.2015.06.010

Synthesis, antimicrobial, anticancer and QSAR studies of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones

Faculty of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak 124001, India
Collaborative Drug Discovery Research Group, Faculty of Pharmacy, Campus Puncak Alam, Universiti Teknologi MARA (UiTM), 42300 Bandar Puncak Alam, Selangor, Malaysia
Brain Research Laboratory, Faculty of Pharmacy, Campus Puncak Alam, Universiti Teknologi MARA (UiTM), 42300 Bandar Puncak Alam, Selangor, Malaysia

⁎Corresponding author. Mobile: +91 9416649342. naru2000us@yahoo.com (Balasubramanian Narasimhan)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

A series of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones (1–17) was synthesized and evaluated in vitro for its antimicrobial and anticancer activities. Results of antimicrobial screening indicated that 1-[4-[4-Chloro-phenyl)-2-[(3-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(2-methyl-5-nitro-phenyl amino)-ethanone (16) and 1-[4-(3,4-dimethoxy-phenyl)-2-[(4-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(3-nitrophenylamino)-ethanone (17) were found to be the most effective antimicrobial agents. The anticancer screening results indicated that 1-[4-(4-dimethylamino-phenyl)-2-(p-tolylazo-methyl)-benzo[b][1,4]diazepin-1-yl]-2-phenyl aminoethanone (1, IC50 = 1.42 μM/mL against HCT 116 cancer cell lines) was the most potent anticancer agent and was more potent than 5-FU. The results of QSAR studies demonstrated the importance of topological parameters, Kier’s alpha first order shape index (κα1) and valence zero order molecular connectivity index (0χv) in describing antimicrobial activity, LUMO and κα2 in describing anticancer activity of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.

Keywords

Benzodiazepines
QSAR
Antibacterial
Antifungal
Anticancer
1

1 Introduction

The introduction of antibiotics is one of the most imperative medical interventions with regard to reducing human morbidity and mortality. However, the incidence of systemic microbial infections has been increased severely due to rise in the number of immunocompromised hosts. Also, the increasing predominance of microbial resistance to several antibiotics is becoming a foremost apprehension. Moreover, recent reports have cautioned that the emergence of new antibiotic resistant mechanism in Indian subcontinent is placing the antibiotic therapy in unprecedented danger. Consequently, the expensive treatment, toxicities, and drug-resistance pose new conundrum insisting constant renewed efforts in the development of new classes of antimicrobials with more specific action (Amir et al., 2012).

Cancer remains one of the leading causes of death in the world and as a result there is a pressing need for the development of novel and effective treatments. Despite major breakthroughs in many areas of modern medicine over the past 100 years, the successful treatment of cancer remains a significant challenge at the start of the 21st century. It is mainly difficult to discover novel agents that selectively kill tumor cells or inhibit their proliferation without being toxic. Currently, combination chemotherapy with different mechanisms of action is one of the methods that are being adopted to treat cancer. Therefore, a single molecule containing more than one pharmacophore, each with different mode of action may be beneficial for the treatment of cancer (Kamal et al., 2010a).

Quantitative structure–activity relationships (QSAR) attempt to find relationship between the molecular properties of molecules and the biological responses they elicit when applied in biological system. The advancements in computer hardware and software now allow the molecular properties of molecules to be easily estimated without the need to synthesize the molecules in question using QSAR model (Paine et al., 2010).

Benzodiazepines are important organic molecules with a wide array of biological activities and therapeutic functions. Among the benzodiazepines, 1,4- and the 1,5-benzodiazepines are commonly used as anxiolytic (Chatterjee et al., 2010) and anticonvulsive drugs (Ghogare et al., 2010). These effects are primarily mediated via the benzodiazepine receptors located in central nervous system. In addition to the anxiolytic activity, benzodiazepines have been reported to have antiepileptic (Gatta et al., 2010), anticancer (Kamal et al., 2008, 2010a), antimicrobial (Kamal et al., 2010b), antiviral (Cheng et al., 2008) and antioxidant (Pozarentzi et al., 2009) activities.

Recently Tirlapur et al. reported the synthesis and antimicrobial activity of 1,4-benzodiazepine derivatives (Tirlapur and Noubade, 2009). Keeping in mind the diverse biological spectrum of benzodiazepines and in continuation of our research on the development of novel antimicrobial agents (Narang et al., 2012; Judge et al., 2012; Kumar et al., 2010, 2009) we hereby report the synthesis, antimicrobial, anticancer and QSAR studies of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.

2

2 Material and methods

Melting points were determined in open glass capillaries on a sonar melting point apparatus and are uncorrected. Reaction progress was monitored by thin layer chromatography on silica gel sheets (Merck silica gel –G). 1H nuclear magnetic resonance (1H NMR) spectra were recorded on Bruker Avance II 400 NMR spectrometer (400 MHz) at 298 K in appropriate deuterated solvents. Chemical shifts were reported as δ (ppm) relative to tetramethylsilane (TMS) as an internal standard. Infrared (IR) spectra were recorded as KBr pellet on Perkin Elmer FTIR spectrometer. The wave number is given in cm−1. Elemental analysis was performed on a Perkin–Elmer 2400 C, H, N analyzer. Mass spectra were taken on Waters Micromass Q-ToF Micro instrument.

2.1

2.1 General procedure for the synthesis of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones (1–17)

To a cold solution of substituted aniline (0.01 mol) in water (5 mL) and concentrated hydrochloric acid (5 mL), added solution of sodium nitrite (0.01 mol) in water (8 mL) by maintaining the temperature at 0–5 °C. The diazonium salt thus obtained was filtered into cold solution of ethyl acetoacetate (0.01 mol) and sodium acetate (8 g) in ethanol (25 mL). The resulting product was filtered, washed with cold water, dried and recrystallized from ethanol.

A solution of substituted benzaldehyde (0.01 mol) in ethanol (10 mL) was added to synthesized ester (0.01 mol) in ethanol (5 mL) and sodium hydroxide (4 mL, 40%). The reaction mixture was stirred for 24 h at room temperature and then the contents were poured on to crushed ice and neutralized with 5% hydrochloric acid. The product thus separated was filtered, dried and recrystallized from ethanol.

A mixture of substituted phenyl azo-butenone (synthesized as above) (0.01 mol) and ortho-phenylenediamine (0.01 mol) in absolute ethanol (20 mL) was refluxed for 10 h. The contents were cooled and poured into ice cold water. The separated product was filtered, washed with water, dried and recrystallized from ethanol.

A mixture of the above synthesized substituted benzodiazepine (0.01 mol) and chloro acetyl chloride (0.01 mol) in absolute ethanol (20 mL) was refluxed for 8–10 h. The contents were cooled and poured into ice cold water. The separated product was filtered, washed with water, dried and recrystallized from ethanol.

A mixture of substituted benzodiazepine ethanone (synthesized as above) (0.01 mol) and substituted aniline (0.01 mol) in absolute ethanol (20 mL) was refluxed for 10–15 h. The contents were cooled and poured into ice cold water. The separated product was filtered, washed with water, dried and recrystallized from ethanol.

1-[4-(4-Dimethylamino-phenyl)-2-(p-tolylazo-methyl)-benzo[b][1,4]diazepin-1-yl]-2-phenyl aminoethanone (1): Mp (°C) 58–60; Yield – 74.34%; (KBr pellets, cm−1): 2931 (C—H stretching, aromatic CH3), 1338 (C—N stretching, aryl 30 amine), 1604 (C⚌C/C⚌N stretching, diazepine ring), 1650 (C⚌O stretching, carbonyl group), 1312 (C—N stretching, aryl 20 amine), 1546 (C⚌C skeletal stretching, aryl), 693 (C—C out of plane bending, mono substituted benzene), 813 (C—H out of plane bending, 1,4-disubstituted benzene), 752 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): 2.36 (s, 6H, CH3 of ArN(CH3)2), 4.62 (s, 1H, diazepine ring), 6.47–7.80 (m, 17H, ArH of ArNH, ArCH3 adjacent to N⚌N, ArN(CH3)2 and benzodiazepine); Anal. Calculated for C33H32N6O: C, 74.98; H, 6.10; N, 15.90; Found: C, 75.00; H, 6.06; N, 15.88; MS ES+(ToF): m/z 530 [M+ + 1].

1-{4-(4-Methoxy-phenyl)-2-[(2-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl}-2-phenyl amino-ethanone (2): Mp (°C) 96–98; Yield – 81.46%; (KBr pellets, cm−1): 1487 (NO2 stretching, aromatic nitro group), 1278 (C—O—C stretching, aryl conjugated), 1683 (C⚌C/C⚌N stretching, diazepine ring), 1711 (C⚌O stretching, carbonyl group), 1308 (C—N stretching, aryl 20 amine), 1608 (C⚌C skeletal stretching, aryl), 690 (C—C out of plane bending, mono substituted benzene), 826 (C—H out of plane bending, 1,4-disubstituted benzene), 738 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 3.33 (s, 3H, OCH3 of ArOCH3), 4.17 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.38 (s, 1H, of diazepine ring), 6.60–7.70 (m, 17H, ArH of ArNH, ArCH3 adjacent to N⚌N, ArN(CH3)2 and benzodiazepine); Anal. Calculated for C31H26N6O4: C, 68.12; H, 4.79; N, 15.38; Found: C, 68.14; H, 4.74; N, 15.37; MS ES+(ToF): m/z 548 [M+ + 1].

2-(4-chloro-phenylamino)-1-[2-[4-chloro-phenylazo)-methyl]-4-(4-dimethylamino-phenyl)-benzo[b][1,4]diazepin-1-yl]-ethanone (3): Mp (°C) 80–82; Yield – 76.55%; (KBr pellets, cm−1): 1321 (C—N stretching, aryl 30 amine), 1684 (C⚌C/C⚌N stretching, diazepine ring), 1719 (C⚌O stretching, carbonyl group), 1347 (C—N stretching, aryl 20 amine), 1605 (C⚌C skeletal stretching, aryl), 729 (C—Cl stretching, monochlorinated aromatic), 692 (C—C out of plane bending, mono substituted benzene), 816 (C—H out of plane bending, 1,4-disubstituted benzene), 742 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 3.9 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.2 (s, 1H, of diazepine ring), 6.60–7.70 (m, 16H, ArH of ArCl, ArN(CH3)2 and benzodiazepine); Anal. Calculated for C32H28Cl2N6O: C, 65.87; H, 4.84; N, 14.40; Found: C, 65.82; H, 4.88; N, 14.44; MS ES+(ToF): m/z 585 [M+ + 1].

1-[2-[3-chloro-phenylazo)-methyl]-4-(3-methoxy-phenyl)-benzo[b][1,4]diazepin-1-yl]-2-(2-nitro-phenylamino)-ethanone (4): Mp (°C) 64–66; Yield – 48.00%; (KBr pellets, cm−1): 1567 (NO2 stretching, aromatic nitro group), 1623 (C⚌C/C⚌N stretching, diazepine ring), 1720 (C⚌O stretching carbonyl group), 1343 (C—N stretching, aryl 20 amine), 1282 (C—O—C stretching, aryl conjugated), 1597 (C⚌C skeletal stretching, phenyl), 777 (C—Cl stretching, monochlorinated aromatic), 695 (C—C out of plane bending, mono substituted benzene), 822 (C—H out of plane bending, 1,4-disubstituted benzene), 739 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): 3.68 (t, 3H, H of methoxy group), 6.63–8.05 (m, 16H, ArH of ArCl, ArOCH3, ArN(CH3)2, ArNO2 and benzodiazepine); Anal. Calculated for C31H25ClN6O4: C, 64.08; H, 4.34; N, 14.46; Found: C, 64.05; H, 4.39; N, 14.51; MS ES+ (ToF): m/z 582 [M+ + 1].

1-[2-[2-Methyl-5-nitro-phenylazo)-methyl]-4-(3-nitro-phenyl)-benzo[b][1,4]diazepin-1-yl]-2-(3-nitro-phenylamino)-ethanone (5): Mp (°C) 92–94; Yield – 62.30%; (KBr pellets, cm−1): 1532 (NO2 stretching, aromatic nitro group), 1621 (C⚌C/C⚌N stretching diazepine ring), 1720 (C⚌O stretching carbonyl group), 1342 (C—N stretching, aryl 20 amine), 1596 (C⚌C skeletal stretching, phenyl), 696 (C—C out of plane bending, mono substituted benzene), 824 (C—H out of plane bending, 1,4-disubstituted benzene), 737 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 4.0 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.25 (s, 1H, of diazepine ring), 6.98–7.50 (m, 15H, ArH of ArNO2, ArCH3NO2 and benzodiazepine); Anal. Calculated for C31H24N8O7: C, 60.00; H, 3.90; N, 18.06; Found: C, 59.95; H, 3.94; N, 18.03; MS ES+ (ToF): m/z 622 [M+ + 1].

1-[2-[2-Chlorophenylazo)-methyl]-4-(3-methoxy-phenyl)-benzo[b][1,4]diazepin-1-yl]-2-(3-nitro-phenylamino)-ethanone (6): Mp (°C) 110–112; Yield – 54.24%; (KBr pellets, cm−1): 1512 (NO2 stretching, aromatic nitro group), 1264 (C—O—C stretching, aryl conjugated), 1621 (C⚌C/C⚌N stretching diazepine ring), 1872 (C⚌O stretching carbonyl group), 1324 (C—N stretching, aryl 20 amine), 1580 (C⚌C skeletal stretching, phenyl), 761 (C—Cl stretching, monochlorinated aromatic), 667 (C—C out of plane bending, mono substituted benzene), 815 (C—H out of plane bending, 1,4-disubstituted benzene), 734 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 7.00–7.49 (m, 16H, ArH of ArCl, ArOCH3, ArNO2 and benzodiazepine); Anal. Calculated for C31H25ClN6O4: C, 64.08; H, 4.34; N, 14.46; Found: C, 64.14; H, 4.37; N, 14.44; MS ES+ (ToF): m/z 682 [M+ + 1].

1-[2-[2-Chloro-4-nitrophenylazo)-methyl]-4-(4-chloro-phenyl)-benzo[b][1,4]diazepin-1-yl]-2-(4-nitro-phenylamino)-ethanone (7): Mp (°C) 142–144; Yield – 70.02%; (KBr pellets, cm−1): 1504 (NO2 stretching, aromatic nitro group), 1629 (C⚌C/C⚌N stretching diazepine ring), 1723 (C⚌O stretching carbonyl group), 1299 (C—N stretching, aryl 20 amine), 1586 (C⚌C skeletal stretching, phenyl), 752 (C—Cl stretching, monochlorinated aromatic), 697 (C—C out of plane bending, mono substituted benzene), 838 (C—H out of plane bending, 1,4-disubstituted benzene), 730 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 4.05 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.22 (s, 1H, diazepine ring), 6.63–8.00 (m, 15H, ArH of ArCl, ArNO2, ArClNO2 and benzodiazepine); Anal. Calculated for C30H21Cl2N7O5: C, 57.15; H, 3.36; N, 15.55; Found: C, 57.21; H, 3.39; N, 15.50; MS ES+ (ToF): m/z 631 [M+ + 1].

1-[2-[2-Chloro-4-nitrophenylazo)-methyl]-4-(3-chloro-phenyl)-benzo[b][1,4]diazepin-1-yl]-2-(2-nitro-phenylamino)-ethanone (8): Mp (°C) 106–108; Yield – 65.35%; (KBr pellets, cm−1): 1492 (NO2 stretching, aromatic nitro group), 1619 (C⚌C/C⚌N stretching diazepine ring), 1725 (C⚌O stretching carbonyl group), 1336 (C—N stretching, aryl 20 amine), 1597 (C⚌C skeletal stretching, phenyl), 750 (C—Cl stretching, monochlorinated aromatic), 696 (C—C out of plane bending, mono substituted benzene), 819 (C—H out of plane bending, 1,4-disubstituted benzene); 1H NMR (MeOD): δ 4.65 (s, 1H, H of azepine ring of benzodiazepine), 6.67–7.05 (m, 15H, ArH of ArCl, ArNO2, ArClNO2 and benzodiazepine); Anal. Calculated for C30H21Cl2N7O5: C, 57.15; H, 3.36; N, 15.55; Found: C, 57.18; H, 3.33; N, 15.52; MS ES+ (ToF): m/z 631 [M+ + 1].

1-[4-[4-Hydroxy-phenyl)-2-[(4-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(2-methyl-5-nitro-phenylamino)-ethanone (9): Mp (°C) 85–87; Yield – 74.46%; (KBr pellets, cm−1): 2898 (C—H stretching, aromatic CH3), 1557 (NO2 stretching, aromatic nitro group), 1627 (C⚌C/C⚌N stretching, diazepine ring), 1672 (C⚌O stretching, carbonyl group), 1337 (C—N stretching, aryl 20 amine), 1612 (C⚌C skeletal stretching, phenyl), 704 (C—C out of plane bending, mono substituted benzene), 811 (C—H out of plane bending, 1,4-disubstituted benzene), 733 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 7.15–7.53 (m, 15H, ArH of ArOH, ArNO2, ArCH3NO2 and benzodiazepine), 2.23 (s, 3H, CH3 of ArCH3NO2); Anal. Calculated for C31H25N7O6: C, 62.94; H, 4.26; N, 16.57; Found: C, 62.96; H, 4.24; N, 16.52; MS ES+ (ToF): m/z 593 [M+ + 1].

2-(2-Chloro-4-nitro-phenylamino)-1-{4-(4-Chloro-phenyl)-2-[(3-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-ethanone (10): Mp (°C) 101–103; Yield – 64.88%; (KBr pellets, cm−1): 1511 (NO2 stretching, aromatic nitro group), 1679 (C⚌C/C⚌N stretching, diazepine ring), 1726 (C⚌O stretching, carbonyl group), 1252 (C—N stretching, aryl 20 amine), 1624 (C⚌C skeletal stretching, phenyl), 748 (C—Cl stretching, monochlorinated aromatic), 702 (C—C out of plane bending, mono substituted benzene), 816 (C—H out of plane bending, 1,4-disubstituted benzene), 738 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 6.98–8.04 (m, 15H, ArH of ArCl, ArNO2, ArClNO2 and benzodiazepine); Anal. Calculated for C30H21Cl2N7O5: C, 57.15; H, 3.36; N, 15.55; Found: C, 57.10; H, 3.40; N, 15.58; MS ES+ (ToF): m/z 631 [M+ + 1].

1-{4-(3-Ethoxy-4-hydroxyphenyl)-2-[(3-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl}-2-(2-methyl-5-nitro-phenylamino)-ethanone (11): Mp (°C) 60–62; Yield – 45.44%; (KBr pellets, cm−1): 1566 (NO2 stretching, aromatic nitro group), 1678 (C⚌C/C⚌N stretching, diazepine ring), 1731 (C⚌O stretching carbonyl group), 1283 (C—N stretching, aryl 20 amine), 1623 (C⚌C skeletal stretching, phenyl), 694 (C—C out of plane bending, mono substituted benzene), 813 (C—H out of plane bending, 1,4-disubstituted benzene), 744 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 6.65–8.06 (m, 14H, ArH of ArNO2, ArCH3NO2, ArOH(OC2H5) and benzodiazepine); Anal. Calculated for C33H29N7O7: C, 62.36; H, 4.60; N, 15.43; Found: C, 62.39; H, 4.64; N, 15.47; MS ES+ (ToF): m/z 637 [M+ + 1].

2-(2-Chloro-4-nitrophenylamino)-1-[2[(4-chloro-phenylazo)-methyl]-4-(3-hydroxy-phenyl)-benzo [b][1,4]diazepin-1-yl]-ethanone (12): Mp (°C) 102–104; Yield – 75.36%; (KBr pellets, cm−1): 1537 (NO2 stretching, aromatic nitro group), 1639 (C⚌C/C⚌N stretching, diazepine ring), 1689 (C⚌O stretching, carbonyl group), 1294 (C—N stretching, aryl 20 amine), 1603 (C⚌C skeletal stretching, phenyl), 763 (C—Cl stretching, monochlorinated aromatic), 691 (C—C out of plane bending, mono substituted benzene), 816 (C—H out of plane bending, 1,4-disubstituted benzene), 723 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 6.98–8.04 (m, 15H, ArH of ArClNO2, ArCl, ArOH and benzodiazepine); Anal. Calculated for C30H22Cl2N6O4: C, 59.91; H, 3.69; N, 13.97; Found: C, 59.97; H, 3.74; N, 13.94; MS ES+(ToF): m/z 602 [M+ + 1].

1-{4-(3,4-Dimethoxy-phenyl)-2-[(2-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(3-nitro-phenylamino)-ethanone (13): Mp (°C) 79–81; Yield – 80.28%; (KBr pellets, cm−1): 1531 (NO2 stretching, aromatic nitro group), 1624 (C⚌C/C⚌N stretching diazepine ring), 1719 (C⚌O stretching carbonyl group), 1309 (C—N stretching, aryl 20 amine), 1581 (C⚌C skeletal stretching, phenyl), 1279 (C—O—C stretching, aryl conjugated), 673 (C—C out of plane bending, mono substituted benzene), 825 (C—H out of plane bending, 1,4-disubstituted benzene), 736 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): 4.02 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.3 (s, 1H, of diazepine), 7.35–7.40 (m, 15H, ArH of ArNH, ArNO2 adjacent to N⚌N, Ar (OCH3)2 and benzodiazepine); Anal. Calculated for C32H27N7O7: C, 61.83; H, 4.38; N, 15.77; Found: C, 61.86; H, 4.44; N, 15.84; MS ES+(ToF): m/z 623 [M+ + 1].

2-(4-Chloro-phenylamino)-1-{4-(4-hydroxy-3-methoxy-phenyl)-2-[(2-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2)-ethanone (14): Mp (°C) 105–107; Yield – 62.87%; (KBr pellets, cm−1): 1489 (NO2 stretching, aromatic nitro group), 1608 (C⚌C/C⚌N stretching, diazepine ring), 1693 (C⚌O stretching, carbonyl group), 1314 (C—N stretching, aryl 20 amine), 1570 (C⚌C skeletal stretching, phenyl), 1257 (C—O—C stretching, aryl conjugated), 712 (C—Cl stretching, monochlorinated aromatic), 691 (C—C out of plane bending, mono substituted benzene), 814 (C—H out of plane bending, 1,4-disubstituted benzene), 738 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): 6.73–8.33 (m, 15H, ArH of ArNH, ArNO2 adjacent to N⚌N, ArOHOCH3 and benzodiazepine); Anal. Calculated for C31H25ClN6O5: C, 62.36; H, 4.22; N, 14.08; Found: C, 62.40; H, 4.24; N, 11.12; MS ES+ (ToF): m/z 598 [M+ + 1].

2-(4-chloro-phenylamino)-1-[2-[4-chloro-phenylazo)-methyl]-4-(4-dimethylamino-phenyl)-benzo[b][1,4]diazepin-1-yl]-ethanone (15): Mp (°C) 140–142; Yield – 56.80%; (KBr pellets, cm−1): 1525 (NO2 stretching, aromatic nitro group), 1327 (C—N stretching, aryl 30 amine), 1683 (C⚌C/C⚌N stretching, diazepine ring), 1709 (C⚌O stretching, carbonyl group), 1305 (C—N stretching, aryl 20 amine), 1607 (C⚌C skeletal stretching, phenyl), 1525 (NO2 asym. Stretching, aromatic nitro group), 692 (C—C out of plane bending, mono substituted benzene) 825 (C—H out of plane bending, 1,4-disubstituted benzene), 739 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 2.6 (s, 6H, CH3 of ArN(CH3)2), 3.9 (t, 1H, NH of NHArNO2, d, 2H, CH2 attached to NHArNO2), 4.2 (d, 1H of diazepine ring), 6.78–8.29 (m, 17H, ArH of ArNH, ArCH3 adjacent to N⚌N, ArN(CH3)2, and benzodiazepine); Anal. Calculated for C33H29N7O3: C, 68.68; H, 5.22; N, 17.52; Found: C, 68.70; H, 5.18; N, 17.47; MS ES+ (ToF): m/z 561 [M+ + 1].

1-[4-[4-Chloro-phenyl)-2-[(3-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(2-methyl-5-nitro-phenylamino)-ethanone (16): Mp (°C) 74–76; Yield – 58.68%; (KBr pellets, cm−1): 1523 (NO2 stretching, aromatic nitro group), 1627 (C⚌C/C⚌N stretching, diazepine ring), 1676 (C⚌O stretching, carbonyl group), 1313 (C—N stretching, aryl 20 amine), 1601 (C⚌C skeletal stretching, phenyl), 723 (C—Cl stretching, monochlorinated aromatic), 689 (C—C out of plane bending, mono substituted benzene), 807 (C—H out of plane bending, 1,4-disubstituted benzene), 735(C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 4.4 (s, 1H, of diazepine ring), 6.98–8.04 (m, 16H, ArH of ArCl, ArNO2 and benzodiazepine); Anal. Calculated for C30H22ClN7O5: C, 60.46; H, 3.72; N, 16.45; Found: C, 60.38; H, 3.68; N, 16.46; MS ES+ (ToF): m/z 597 [M+ + 1].

1-{4-(3,4-Dimethoxy-phenyl)-2-[(4-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(3-nitrophenylamino)-ethanone (17): Mp (°C) 103–105; Yield – 70.66%; (KBr pellets, cm−1): 1557 (NO2 stretching, aromatic nitro group), 1624 (C⚌C/C⚌N stretching, diazepine ring), 1739 (C⚌O stretching, carbonyl group), 1292 (C—N stretching, aryl 20 amine), 1585 (C⚌C skeletal stretching, phenyl), 1283 (C—O—C stretching, aryl conjugated), 693 (C—C out of plane bending, mono substituted benzene), 813 (C—H out of plane bending, 1,4-disubstituted benzene), 734 (C—H out of plane bending, 1,2-disubstituted benzene); 1H NMR (MeOD): δ 7.17–7.54 (m, 15H, ArH of ArNO2, Ar(OCH3)2 and benzodiazepine); Anal. Calculated for C32H27N7O7: C, 61.83; H, 4.38; N, 15.77; Found: C, 61.78; H, 4.41; N, 15.81; MS ES+ (ToF): m/z 623 [M+ + 1].

2.2

2.2 Evaluation of antimicrobial activity

The antimicrobial activity of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones (1–17) against Gram-positive bacteria: Staphylococcus aureus, Bacillus subtilis, Gram-negative bacterium: Escherichia coli and fungal strains: Candida albicans and Aspergillus niger was determined using the tube dilution method (Cappucino and Sherman, 1999). Dilutions of test and standard compounds were prepared in double strength nutrient broth – I.P. (bacteria) or Sabouraud dextrose broth I.P. (fungi) (Pharmacopoeia of India, 2007). The samples were incubated at 37 ± 1 °C for 24 h (bacteria), at 25 ± 1 °C for 7d (A. niger) and at 37 ± 1 °C for 48 h (C. albicans) respectively and the results were recorded in terms of MIC (the lowest concentration of test substance which inhibited the growth of microorganisms).

2.3

2.3 Determination of MBC/MFC

The minimum bactericidal concentration (MBC) and fungicidal concentration (MFC) were determined by subculturing 100 μL of culture from each tube (which remained clear in the MIC determination) on fresh medium. MBC and MFC values represent the lowest concentration of compound that produces a 99.9% end point reduction (Rodriguez-Arguelles et al., 2005).

2.4

2.4 Anticancer evaluation

The anticancer activity of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones was determined against breast cancer (MCF 7) and colon cancer (HCT116) cell lines. Cancer cell lines were purchased from the American Type Culture Collection (ATCC), Manassas, VA, USA. All cell lines were cultured in RPMI 1640 (Sigma) supplemented with 10% heat inactivated fetal bovine serum (FBS) (PAA Laboratories) and 1% penicillin/streptomycin (PAA Laboratories). Cultures were maintained in a humidified incubator at 37 °C in an atmosphere of 5% CO2. Cytotoxicity of synthesized compounds at various concentrations was assessed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) (Sigma) assay as described by Mosmann, 1983 but with minor modification, following 72 h of incubation. Assay plates were read using a spectrophotometer at 520 nm. Data generated were used to plot a dose–response curve of which the concentration of test compounds required to kill 50% of cell population (IC50) was determined. Anticancer activity was expressed as the mean IC50 of three independent experiments (Mosmann, 1983).

2.5

2.5 QSAR studies

The structures of synthesized compounds were first pre-optimized with the Molecular Mechanics Force Field (MM+) procedure included in Hyperchem 6.03 (Hyperchem 6.0, 1993) and the resulting geometries were further refined by means of the semiempirical method PM3 (Parametric Method-3). We chose a gradient norm limit of 0.01 kcal/A° for the geometry optimization. The lowest energy structure was used for each molecule to calculate physicochemical properties like log of octanol–water partition coefficient (log P), molar refractivity (MR), Kier’s molecular connectivity (0χ, 0χv, 1χ, 1χv, 2χ, 2χv) and shape (κ1, κα1, κα2, κα3) topological indices, Randic topological index (R), Balaban topological index (J), Wiener topological index (W), Total energy (Te), energies of highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO), dipole moment (μ) and electronic energy (Ele. E) by using TSAR 3.3 software for Windows (TSAR 3D Version 3.3, 2000). Further, the regression analysis was performed using the SPSS software package (SPSS for Windows, 1999).

3

3 Results and discussion

3.1

3.1 Chemistry

A series of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones (1–17) was synthesized by the series of reactions as outlined in Scheme 1. All the compounds were obtained in appreciable yield and their physicochemical characteristics are presented in Table 1.

Synthetic route followed for the synthesis of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Scheme 1 Synthetic route followed for the synthesis of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Table 1 Physicochemical properties of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Comp. Mol. formula M. Wt. m.p. (°C) Rf Valuea % Yield
Training set
1. C33H32N6O 529 58–60 0.43 74.34
2. C31H26N6O4 547 96–98 0.67 81.46
3. C32H28Cl2N6O 584 80–82 0.47 76.55
4. C31H25ClN6O4 581 64–66 0.51 48.00
5. C31H24N8O7 621 92–94 0.64 62.30
6. C31H25ClN6O4 581 110–112 0.66 54.24
7. C30H21Cl2N7O5 630 142–144 0.42 70.02
8. C30H21Cl2N7O5 630 106–108 0.39 65.35
9. C31H25N7O6 592 85–87 0.40 72.46
10. C30H21Cl2N7O5 630 101–103 0.41 64.88
11. C33H29N7O7 636 60–62 0.46 45.44
12. C30H22Cl2N6O4 601 102–104 0.43 75.36
13. C32H27N7O7 622 79–81 0.44 80.28
14. C31H25ClN6O5 597 105–107 0.58 62.87
Test set
15. C33H29N7O3 560 140–42 0.52 56.80
16. C30H22ClN7O5 596 74–76 0.59 58.68
17. C32H27N7O7 622 103–105 0.31 70.66
TLC mobile phase: Benzene.

The formation of target compounds was ascertained on the basis of their consistent NMR and IR spectral characteristics. The formation of diazepine ring was confirmed by IR bands ranging from 1684 to 1604 cm−1. Further appearance of IR bands at 1739–1650 cm−1 (C⚌O str., carbonyl group) confirmed the formation of target compounds.

Presence of phenyl group in the synthesized compounds was demonstrated by C⚌C skeletal stretching of phenyl nucleus at wave number 1624–1546 cm−1. Presence of IR bands in the region of 1567–1487 cm−1 indicated the presence of aromatic nitro group in synthesized compounds. Presence of chloro group in compounds 3, 4, 6, 7, 8, 10, 12 and 14 was evidenced by IR stretching bands ranging from 777 to 712 cm−1.

IR bands in the range of 1283–1257 cm−1 indicated the presence of methoxy group in compounds 2, 4, 6, 13, 14 and 17. Presence of methyl group in compounds 1 and 9 was confirmed by IR bands at 2931 and 2898 cm−1 respectively.

The formation of diazepine ring in the synthesized compounds was confirmed by the appearance of δ at 4.25–4.65 ppm and the presence of aromatic moieties was indicated by NMR signal at δ 6.47–8.29. Appearance of singlet signal in the range of δ 2.36–2.55 elicited the presence of ArN(CH3)2 groups in compounds 1 and 15. Presence of methoxy group in compound 2 was indicated by the appearance of singlet signal at δ 3.33 and singlet signal at δ 2.23 confirmed the presence of aromatic methyl group in compound 9. Presence of triplet signal at δ 4.02–4.20 indicated the link between acetyl group and the NH of substituted anilines, which confirmed the formation of the target compounds. Further, Mass spectra and elemental (C, H, N) analysis results of synthesized compounds were in full agreement with their assigned molecular structures.

3.2

3.2 Antimicrobial activity

The synthesized compounds (1–17) were screened in vitro for their antimicrobial potential against Gram-positive bacteria S. aureus, B. subtilis, Gram negative bacterium E. coli and fungal strains C. albicans and A. niger by tube dilution method (Cappucino and Sherman, 1999) using norfloxacin and fluconazole as reference drugs for antibacterial and antifungal activities, respectively. Double strength nutrient broth I.P. and Sabouraud dextrose broth I.P. (Pharmacopoeia of India, 2007) have been employed as media for growth of bacterial and fungal strains, respectively. The results of antimicrobial activity are presented in Table 2.

Table 2 Antimicrobial activity (μM/mL) of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Comp. pMICsa pMICbs pMICec pMICca pMICan pMICab pMICaf pMICam
Training set
1. 1.33 1.63 1.63 1.63 1.63 1.53 1.63 1.57
2. 1.34 1.64 1.64 1.34 1.64 1.54 1.49 1.52
3. 1.37 1.67 1.67 1.67 1.67 1.57 1.67 1.61
4. 1.37 1.67 1.67 1.67 1.67 1.57 1.67 1.61
5. 1.39 1.70 1.70 1.70 1.70 1.60 1.70 1.64
6. 1.37 1.67 1.67 1.67 1.67 1.57 1.67 1.61
7. 1.40 1.70 1.70 1.70 1.70 1.60 1.70 1.64
8. 1.40 1.70 1.70 1.70 1.70 1.60 1.70 1.64
9. 1.37 1.68 1.68 1.68 1.68 1.57 1.68 1.61
10. 1.40 1.70 1.70 1.70 1.70 1.60 1.70 1.64
11. 1.41 1.71 1.71 1.71 1.71 1.61 1.71 1.65
12. 1.38 1.68 1.68 1.68 1.68 1.58 1.68 1.62
13. 1.40 1.70 1.70 1.70 1.70 1.60 1.70 1.64
14. 1.38 1.68 1.68 1.68 1.68 1.58 1.68 1.62
Test set
15. 1.35 1.95 1.65 1.65 1.65 1.65 1.65 1.65
16. 1.38 2.28 1.98 1.68 1.68 1.88 1.68 1.80
17. 1.70 2.30 1.70 1.70 1.70 1.90 1.70 1.82
S.D. 0.08 0.21 0.08 0.09 0.02 0.10 0.05 0.07
Std. 2.61a 2.61a 2.61a 2.64b 2.64b

S.D. Standard deviation.

pMICsa, pMICbs, pMICec, pMICca and pMICan = PMIC (μM/mL) of synthesized compounds against S. aureus, B. subtilis, E. coli, C. albicans and A. niger respectively.

pMICab, pMICaf, pMICam = Average antibacterial, antifungal and antimicrobial activity of synthesized compounds.

Norfloxacin.
Fluconazole.

Results of antimicrobial study indicated that compound 17 was the most active antibacterial agent against S. aureus and B. subtilis having pMICsa and pMICbs values 1.70 and 2.30 μM/mL respectively. In case of Gram-negative bacterium E. coli, compound 16 (pMICec = 1.98 μM/mL) emerged as the most active antibacterial candidate among the synthesized benzodiazepine derivatives. Besides having appreciable antibacterial activity, the synthesized compounds also displayed good antifungal activity and compound 11 emerged as the most active antifungal agent against both C. albicans and A. niger (pMICca and pMICan = 1.71 μM/mL).

In general, the results of minimum bactericidal/fungicidal concentration (MBC/MFC) (Table 3) revealed that the synthesized compounds were bacteriostatic and fungistatic in action (except in case of A. niger) as their MFC and MBC values were 3-fold higher than their MIC values (a drug is considered to be bacteriostatic/fungistatic when its MFC and MBC values are 3-fold higher than its MIC values) (Emami et al., 2004). The MFC results against the A. niger demonstrated that the synthesized benzodiazepine derivatives are fungicidal against it.

Table 3 MBF/MFC of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Comp. Minimum bactericidal/fungicidal concentration (μM/mL)
S. aureus B. subtilis E. coli C. albicans A. niger
Training set
1 >0.09 >0.09 >0.09 0.09 0.02
2 >0.09 >0.09 >0.09 >0.09 0.02
3 >0.09 >0.09 >0.09 0.09 0.02
4 >0.09 >0.09 >0.09 >0.09 0.02
5 >0.08 >0.08 >0.08 0.08 0.02
6 >0.09 >0.09 >0.09 0.09 0.02
7 >0.08 >0.08 >0.08 0.04 0.02
8 >0.08 >0.08 >0.08 0.08 0.02
9 >0.08 >0.08 >0.08 >0.08 0.02
10 >0.08 >0.08 >0.08 >0.08 0.04
11 >0.08 >0.08 >0.08 >0.08 0.02
12 >0.08 >0.08 >0.08 >0.08 0.02
13 >0.08 >0.08 >0.08 >0.08 0.02
14 >0.08 >0.08 >0.08 >0.08 0.02
Test set
15 >0.09 >0.09 >0.09 0.02 0.02
16 >0.08 >0.08 >0.08 0.08 0.02
17 >0.08 >0.08 >0.08 >0.08 0.02
Std. 0.019a 0.019a 0.019a 0.040b 0.040b
Norfloxacin.
Fluconazole.

3.3

3.3 The anticancer activity

The anticancer activity of the synthesized benzodiazepine derivatives was determined against breast cancer (MCF 7) and colon cancer (HCT116) cell lines using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay (Mosmann, 1983) and the results are presented in Table 4.

Table 4 Cytotoxicity (pIC50, μM/mL) of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones against breast cancer and colon cancer cell linesa.
Compound MCF 7 HCT 116
Training set
1 1.42 1.42
2 0.96 0.28
3 1.32 1.29
4 0.99 1.16
5 0.95 0.95
6 1.22 1.16
7 0.72 0.80
8 1.10 0.65
9 0.23 NA
10 −0.08 >−0.20
11 1.36 1.33
12 1.30 1.30
13 1.45 NA
14 1.12 1.08
Test set
15 1.27 0.90
16 1.30 1.17
17 1.35 1.02
S.D. 0.42 0.11
5-FU 2.29 1.34

S.D. – Standard Deviation.

NA – Not able to obtain IC50 after three independent tests.

Data represent mean values of three replicates.

In general, all the synthesized compounds were less active anticancer agents as compared to the standard drug 5-fluorouracil (5-FU) but 1-[4-(4-dimethylamino-phenyl)-2-(p-tolylazo-methyl)-benzo[b][1,4]diazepin-1-yl]-2-phenyl amino ethanone (1) was the most effective compound against HCT116 cancer cell lines (IC50 = 1.42 M/mL) and was more than standard drug, 5-FU (IC50 = 1.34 uM/mL).

3.4

3.4 Structure activity relationship

From the anticancer and antimicrobial screening results of synthesized, 4-thiazolidinone derivatives the following structure activity relationship (SAR) can be derived:

  1. The high antibacterial activity of compound 17 indicated the fact that the presence of electron withdrawing nitro group on diazobenzene portion increases the antimicrobial activity of synthesized benzodiazepine derivatives. The role of electron withdrawing group in improving antibacterial activity of benzodiazepine derivatives is supported by the studies of Konda et al. (2011).

  2. The presence of electron releasing group on phenyl aminoethanone improves the antifungal activity of synthesized benzodiazepine derivatives as evidenced by the high antifungal activity of compound 11. It is important to note a fact here that the substitution on phenyl nucleus of diazobenzene nucleus does not affect the antimicrobial activity of synthesized benzodiazepines.

  3. Presence of electron releasing groups on 4-substituted phenyl nucleus of benzodiazepine increases antimicrobial activity against Gram positive bacterial strains as well as both of the fungal strains whereas electron withdrawing groups increase antibacterial activity against Gram negative bacterium E. coli. From this result we may conclude that there are different structural requirements for a compound to be effective against different targets. This is similar to the results of Sortino et al. (2007).

  4. From the anticancer potential of compound 1, we can say that the presence of electron releasing groups on diazobenzene nucleus as well as on 4-substituted phenyl nucleus of benzodiazepine increases anticancer activity of synthesized benzodiazepine derivatives. The role of electron releasing group in improving the anticancer potential of benzodiazepine derivatives is similar to the observation of Kamal et al. (2010a).

  5. It is interesting to note a fact here that the substitution on the phenyl ring of phenyl amino ethanone portion of the synthesized benzodiazepine derivatives decreased their anticancer potential in comparison to the unsubstituted phenyl amino ethanone portion. This result gave an important clue that the hydrogen of unsubstituted phenyl ring may be necessary for binding of synthesized benzodiazepine derivatives with anticancer target through hydrogen bonding.

The aforementioned findings are summarized in Fig. 1.

Structural requirements for the antimicrobial and anticancer activities of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Figure 1 Structural requirements for the antimicrobial and anticancer activities of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.

3.5

3.5 QSAR studies

3.5.1

3.5.1 QSAR studies for antimicrobial activity

In the present study, we have performed the quantitative structure activity relationship study by conventional Hansch’s analysis using the linear free energy relationship model (LFER) described by Hansch and Fujita (1964). In this approach, structural features of drug molecules were quantified in terms of different parameters and these structural features were correlated with quantified biological activity through equation using regression analysis. Biological activity data determined as MIC values was first transformed into pMIC values (i.e. −log MIC) and used as a dependent variable in QSAR study.

The different molecular descriptors (independent variables) like log of octanol–water partition coefficient (log P), molar refractivity (MR), Kier’s molecular connectivity (0χ, 0χv, 1χ, 1χv, 2χ, 2χv) and shape (κ1, κα1, κα2, κα3) topological indices, Randic topological index (R), Balaban topological index (J), Wiener topological index (W), Total energy (Te), energies of highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO), dipole moment (μ) and electronic energy (Ele. E) (Hansch et al., 1973; Kier and Hall, 1976; Randic, 1975, 1993; Balaban, 1982; Wiener, 1947) were calculated for benzodiazepine derivatives and the values of selected descriptors are presented in Table 5.

Table 5 Values of selected parameters used in QSAR studies of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
Comp. log P 0χ 0χv κα1 κα2 Ele. E LUMO HOMO μ
Training set
1 5.92 27.90 22.95 28.18 13.33 −59505.80 −0.65 −8.30 2.72
2 5.37 28.61 22.18 28.72 13.71 −63069.80 −1.06 −8.75 4.46
3 6.49 28.77 24.26 29.70 13.92 −63164.80 −0.72 −8.37 4.23
4 5.88 29.48 23.29 29.96 14.11 −64991.60 −0.98 −8.91 7.29
5 5.99 32.79 24.14 32.74 14.64 −78238.70 −1.48 −9.48 8.51
6 5.88 29.48 23.29 29.96 14.11 −66340.10 −0.92 −9.03 8.13
7 6.61 31.22 24.27 31.79 14.44 −69865.10 −1.60 −9.32 10.19
8 6.61 31.22 24.27 31.79 14.44 −71007.60 −1.54 −9.08 7.16
9 5.76 31.22 23.32 31.19 14.03 −71388.30 −1.44 −9.10 10.07
10 6.61 31.22 24.27 31.79 14.44 −70391.00 −1.50 −9.25 10.84
11 5.84 33.50 25.36 34.07 15.54 −80672.50 −1.33 −8.90 8.41
12 6.37 29.64 23.45 30.24 13.83 −64165.30 −1.18 −9.21 8.34
13 5.07 32.63 24.69 33.09 15.34 −77009.40 −1.12 −8.71 3.88
14 5.60 30.35 23.66 30.89 14.28 −69010.60 −1.08 −8.78 4.03
Test set
15 5.41 29.48 23.21 29.68 13.91 −65460.50 −1.01 −8.30 2.73
16 6.09 30.35 23.15 30.54 14.04 −68308.60 −1.42 −8.99 5.43
17 5.07 32.63 24.69 33.09 15.34 −75244.00 −1.52 −8.86 7.94

A training set consisting of 14 benzodiazepine derivatives (1–14) was used for linear regression model generation and a test set consisting of 3 benzodiazepine derivatives (15–17) was used for cross validation of the generated models. The standard drugs norfloxacin and fluconazole were not included in model generation because of dissimilarity in structure with synthesized compounds.

From the results of our previous QSAR studies (Narang et al., 2012; Judge et al., 2012; Kumar et al., 2010, 2009), we observed that multi-target QSAR (mt-QSAR) models gave better results than one-target QSAR (ot-QSAR) models in describing the antimicrobial activity. So, in light of our past experiences, we decided to develop muti-target QSAR models directly to describe the antimicrobial activity of synthesized 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones in the present study.

According to ot-QSAR models one should use five different equations to predict the activity of a new compound against five microbial species. The ot-QSAR models, which are almost in the whole literature, become unpractical to use when we have to predict each compound results for more than one target. In these cases we have to develop one ot-QSAR for each target. In opposition to ot-QSAR, the mt-QSAR model is a single equation that considers the nature of molecular descriptors which are common and essential for describing the antibacterial and antifungal activities (Prado-Prado et al., 2008; Gonzalez-Diaz and Prado-Prado, 2008; Cruz-Monteagudo et al., 2007; Gonzalez-Diaz et al., 2007).

In order to develop mt-QSAR models, initially we have calculated the average antibacterial activity, antifungal activity and antimicrobial activity values of substituted benzodiazepine derivatives which are presented in Table 2.

Preliminary analysis was carried out in terms of correlation analysis. A correlation matrix constructed for antibacterial, antifungal and antimicrobial activities is presented in Table 6. In general, high colinearity (r > 0.5) was observed between different parameters. The high interrelationship was observed between Ele. E and κα1 (r = −0.999), and low interrelationship was observed between 0χv and log P (r = −0.002).

Table 6 Correlation matrix for the antimicrobial activity of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones.
pMICab pMICaf pMICam log P 0χ 0χv κα1 Ele. E Nu. E HOMO
pMICab 1.000 0.769 0.914 0.280 0.868 0.927 −0.826 0.806 −0.730 0.546
pMICaf 1.000 0.962 0.384 0.784 0.682 −0.562 0.549 −0.410 0.448
pMICam 1.000 0.368 0.870 0.822 −0.701 0.685 −0.559 0.505
log P 1.000 0.248 −0.002 0.173 −0.195 −0.321 0.500
0χ 1.000 0.861 −0.757 0.752 −0.422 0.268
0χv 1.000 −0.968 0.960 −0.698 0.448
κα1 1.000 −0.999 0.651 −0.381
Ele. E 1.000 −0.626 0.357
Nu. E 1.000 −0.759
HOMO 1.000

The structural effects on variations in antibacterial activity of the benzodiazepine derivatives in terms of pMICab were examined by regression analysis with molecular parameters shown in Table 5. For 14 benzodiazepine derivatives, Eq. (1) was derived as that of the best quality using the topological parameter, Kier’s alpha first order shape index (κα1).

3.5.1.1
3.5.1.1 LR mt-QSAR model for antibacterial activity

(1)
pMIC ab = 0.0132 κ α 1 + 1.169 n = 14 r = 0.926 q 2 = 0.790 s = 0.0093 F = 72.92 Here and thereafter, n – number of data points, r – correlation coefficient, q2 – cross validated r2 obtained by leave one out method, s – standard error of the estimate and F – Fischer statistics.

The antibacterial activity of synthesized compounds is positively correlated with the Kier’s alpha first order shape index (κα1). The coefficient of κα1 in Eq. (1) is positive which signifies that the activity of synthesized compounds will increase with increase in value of κα1. This is evidenced by the antibacterial activity data of benzodiazepine derivatives (Table 2) and their κα1 values (Table 5). Compounds 16 and 17 having high κα1 values 30.54 and 33.09 (Table 5) respectively have maximum antibacterial activity with pMICab value of 1.88 and 1.90 (Table 2) respectively. Compounds 1 and 2 having minimum κα1 values 28.18 and 28.72 (Table 5) respectively have minimum antibacterial activity with pMICab values 1.53 and 1.54 (Table 2) respectively.

According to Kier, the shape of a molecule may be partitioned into attributes, each describable by the count of bonds of various path lengths. The basis for devising a relative index of shape is given by the relationship of the number of path of length l in the molecule i, lPi, to some reference values based on molecules with a given number of atoms, n, in which the values of lP are maximum and minimum, lPmax and lPmin (Kier and Hall, 1999).

The modified kappa shape indices are given by:

  • κα1 = (n + α)(n + α − 1)2/(1Pi+ α)2

  • κα2 = (n + α − 1)(n + α − 2)2/(2Pi+ α)2

  • κα3 = (n + α − 1)(n + α − 3)2/(3Pi+ α)2 n is odd

  • κα3 = (n + α − 3)(n + α − 2)2/(3Pi+ α)2 n is even.

In order to improve the value of regression coefficient (Eq. (1)), we coupled κα1 with lipophilic parameter, log P which improved regression coefficient from 0.926 to 0.968 (Eq. (2)).

3.5.1.2
3.5.1.2 MLR mt-QSAR model for antibacterial activity

(2)
pMIC ab = 0.0138 log P + 0.0132 κ α 1 + 1.086 n = 14 r = 0.968 q 2 = 0.889 s = 0.0064 F = 83.20

The developed QSAR model (Eq. (2)) was cross validated by its high q2 value (q2 = 0.889) obtained by leave one out (LOO) method. The value of q2 more than 0.5 indicated that the developed model is a valid one (Golbraikh and Tropsha, 2002). Further the observed and predicted values are close to each other (Table 7), the mt-QSAR model for antibacterial activity (Eq. (2)) is a valid one. The plot of predicted pMICab against observed pMICab (Fig. 2) also favors the developed model expressed by Eq. (2). Further, the plot of observed pMICab vs residual pMICab (Fig. 3) indicated that there was no systemic error in the model development as the propagation of error was observed on both sides of zero (Kumar et al., 2007).

Table 7 Comparison of observed and predicted antimicrobial activity obtained by mt-QSAR models.
Comp. pMICab pMICaf pMICam
Obs. Pre. Res. Obs. Pre. Res. Obs. Pre. Res.
Training set
1 1.53 1.54 −0.01 1.63 1.60 0.03 1.57 1.57 0.00
2 1.54 1.54 0.00 1.49 1.58 −0.09 1.52 1.55 −0.03
3 1.57 1.57 0.00 1.67 1.68 −0.01 1.61 1.62 −0.01
4 1.57 1.56 0.01 1.67 1.65 0.02 1.61 1.60 0.01
5 1.60 1.60 0.00 1.70 1.69 0.01 1.64 1.63 0.01
6 1.57 1.56 0.01 1.67 1.65 0.02 1.61 1.60 0.01
7 1.60 1.60 0.00 1.70 1.71 −0.01 1.64 1.64 0.00
8 1.60 1.60 0.00 1.70 1.69 0.01 1.64 1.63 0.01
9 1.57 1.58 −0.01 1.68 1.66 0.02 1.61 1.61 0.00
10 1.60 1.60 0.00 1.70 1.71 −0.01 1.64 1.65 −0.01
11 1.61 1.62 −0.01 1.71 1.75 −0.04 1.65 1.67 −0.02
12 1.58 1.58 0.00 1.68 1.66 0.02 1.62 1.61 0.01
13 1.60 1.59 0.01 1.70 1.70 0.00 1.64 1.63 0.01
14 1.58 1.57 0.01 1.68 1.65 0.03 1.62 1.60 0.02
Test set
15 1.65 1.55 0.10 1.65 1.62 0.03 1.65 1.58 0.07
16 1.88 1.57 0.31 1.68 1.63 0.05 1.80 1.59 0.21
17 1.90 1.59 0.31 1.70 1.71 −0.01 1.82 1.65 0.17
Plot of predicted pMICab values against observed pMICab values for the multiple linear regression developed model by Eq. (2).
Figure 2 Plot of predicted pMICab values against observed pMICab values for the multiple linear regression developed model by Eq. (2).
Plot of residual pMICab values against observed pMICab values for the multiple linear regression developed model by Eq. (2).
Figure 3 Plot of residual pMICab values against observed pMICab values for the multiple linear regression developed model by Eq. (2).

The antifungal activity of benzodiazepine derivatives was best described by the topological parameter, valence zero order molecular connectivity index (0χv), (Table 6, Eq. (3)).

3.5.1.3
3.5.1.3 LR mt-QSAR model for antifungal activity

(3)
pMIC af = 0.0541 0 χ v + 0.3798 n = 14 r = 0.783 q 2 = 0.170 s = 0.036 F = 19.12

Antifungal activity of synthesized benzodiazepine derivatives is positively correlated with valence zero order molecular connectivity index (0χv) which means that antifungal potential of synthesized compounds will increase with an increase in 0χv values.

The molecular connectivity index, an adjacency based topological index proposed by Randic is denoted by χ and is defined as sum over all the edges (ij) as per following χ = i = 1 n ( V i - V j ) - 1 / 2 where Vi and Vj are the degrees of adjacent vertices i and j and n is the number of vertices in a hydrogen suppressed molecular structure (Lather and Madan, 2005). The topological index, χ signifies the degree of branching, connectivity of atoms and unsaturation in the molecule which accounts for variation in activity (Gupta et al., 2003).

In search of better QSAR model, we coupled valence zero order molecular connectivity index (0χv) with dipole moment (μ) which increased r value from 0.783 to 0.821.

3.5.1.4
3.5.1.4 MLR mt-QSAR model for antifungal activity

(4)
pMIC af = 0.0494 0 χ v + 0.005 μ + 0.455 n = 14 r = 0.821 q 2 = 0.231 s = 0.034 F = 11.42

The validity and predictability of the QSAR model for antifungal activity i.e. Eq. (4) was cross validated by q2 value (q2 = 0.231) obtained by leave one out (LOO) method. The value of q2 less than 0.5 indicated that the developed model is an invalid one. But one should not forget the recommendations of Golbraikh and Tropsha (2002) who reported that the only way to estimate the true predictive power of a model is to test their ability to predict accurately the biological activities of compounds. As the observed and predicted values are close to each other (Table 7), the mt-QSAR model for antifungal activity (Eq. (4)) is therefore a valid one (Golbraikh and Tropsha, 2002).

In case of antimicrobial activity also valence zero order molecular connectivity index (0χv) was proved as the most determinant parameter (Eq. (5)).

3.5.1.5
3.5.1.5 LR mt-QSAR model for antimicrobial activity

(5)
pMIC am = 0.037 0 χ v + 0.727 n = 14 r = 0.870 q 2 = 0.547 s = 0.0177 F = 37.48

The addition of dipole moment (μ) to valence zero order molecular connectivity index (0χv) resulted in better QSAR model (Eq. (6)) with regression coefficient value 0.914.

3.5.1.6
3.5.1.6 MLR mt-QSAR model for antimicrobial activity

(6)
pMIC am = 0.0339 0 χ v + 0.004 μ + 0.780 n = 14 r = 0.914 q 2 = 0.650 s = 0.0151 F = 28.17

The validity and predictability of the QSAR model (Eq. (6)) is evidenced by its high q2 value (0.650) as well as the low residual values (Table 7).

It was observed from mt-QSAR models (Eqs. (1)–(6)) that the antibacterial, antifungal and overall antimicrobial activities of synthesized benzodiazepine derivatives is governed by the topological parameter Kier’s alpha first order shape index (κα1) and valence zero order molecular connectivity index (0χv).

3.5.2

3.5.2 QSAR studies for anticancer activity

In case of QSAR studies for anticancer activity of synthesized compounds against MCF 7 cell lines, entire data set of 14 compounds (1–14) of training set was used for model development whereas in case of HCT 116 cell lines 12 compounds were used for model development by excluding compounds 9 and 13 from the training set as it was not possible to obtain IC50 after three independent tests in case of these compounds. The standard drug 5-fluoro uracil was not included in the model development.

Different outliers were identified against different microorganisms, and the QSAR models have been developed after removal of the outliers (compound numbers in brackets) i.e. MCF 7 (2, 9, 10, 11 and 13), HCT 116 (2, 10 and 11). In multivariate statistics, it is common to define three types of outliers (Furusjo et al., 2006).

  1. X/Y relation outliers are substances for which the relationship between the descriptors (X variables) and the dependent variables (Y variables) is not the same as in the (rest of the) training data.

  2. X outliers are substances whose molecular descriptors do not lie in the same range as the (rest of the) training data.

  3. Y outliers are only defined for training or test samples. They are substances for which the reference value of response is invalid.

As there was no difference in the activity (Table 3) as well as the molecular descriptor range (Table 6) of these outliers when compared to other 3,4,5-trihydroxy benzoic acid derivatives, these outliers belong to the category of Y outliers (substances for which the reference value of response is invalid).

A correlation matrix constructed for anticancer activity of synthesized compounds against HCT 116 colon cancer cell lines is presented in Table 8. In general, high colinearity (r > 0.5) was observed between different parameters. The high interrelationship was observed between κα1 and 0χ (r = 0.985), and low interrelationship was observed between 0χv and log P (r = 0.168). Correlation of anticancer activity of synthesized compounds against MCF 7 and HCT 116 cell lines and molecular descriptors is given in Table 9.

Table 8 Correlation matrix for the anticancer activity of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones against HCT 116 cancer cell lines.
pIC50 log P MR 0χ κα1 κα2 LUMO HOMO μ
pIC50 1.000
log P −0.409 1.000
MR −0.671 0.468 1.000
0χ −0.803 0.168 0.770 1.000
κα1 −0.842 0.268 0.784 0.985 1.000
κα2 −0.850 0.153 0.703 0.924 0.952 1.000
LUMO 0.871 −0.331 −0.744 −0.970 −0.967 −0.879 1.000
HOMO 0.695 −0.212 −0.524 −0.899 −0.879 −0.806 0.921 1.000
μ −0.539 0.206 0.614 0.857 0.814 0.727 −0.836 −0.929 1.000
Table 9 Correlation of anticancer activity of synthesized compounds against HCT 116 and MCF cancer cell lines with their molecular descriptors.
MCF 7 HCT 116
COS E −0.573 −0.558
log P −0.181 −0.409
MR −0.533 −0.671
0χ −0.747 −0.803
0χv −0.516 −0.701
1χ −0.760 −0.799
1χv −0.447 −0.655
2χ −0.715 −0.783
2χv −0.100 −0.308
3χ −0.628 −0.713
3χv 0.050 −0.136
κ1 −0.752 −0.801
κ2 −0.763 −0.755
κ3 −0.718 −0.667
κα1 −0.759 −0.842
κα2 −0.802 −0.850
κα3 −0.666 −0.662
R −0.760 −0.799
J −0.230 −0.444
W −0.760 −0.789
TE 0.768 0.838
Ele. E 0.719 0.790
Nu. E −0.705 −0.776
SA −0.475 −0.478
IP −0.764 −0.695
LUMO 0.770 0.871
HOMO 0.764 0.695
μ −0.625 −0.539

The structural effects on variations in anticancer activity of the benzodiazepine derivatives in terms of pIC50 HCT 116 were examined by regression analysis with molecular parameters shown in Table 5. Eq. (7) was derived as that of the best quality using the electronic parameter, energy of lowest unoccupied molecular orbital (LUMO).

3.5.2.1
3.5.2.1 QSAR model for anticancer activity against HCT 116 cell lines

(7)
pIC 50 HCT 116 = 0.598 LUMO + 1.759 n = 9 r = 0.871 q 2 = 0.549 s = 0.131 F = 22.03 Here and thereafter, n – number of data points, r – correlation coefficient, q2 – cross validated r2 obtained by leave one out method, s – standard error of the estimate and F – Fischer statistics.

The anticancer activity of synthesized compounds against HCT 116 cell lines is positively correlated with LUMO which indicates that anticancer activity of synthesized compounds will increase with an increase in value of LUMO. This is evidenced by the anticancer activity data of benzodiazepine derivatives (Table 4) and their LUMO values (Table 5).

The developed QSAR model (Eq. (7)) was cross validated by its high q2 value (q2 = 0.549) obtained by leave one out (LOO) method. The value of q2 more than 0.5 indicated that the developed model is a valid one (Golbraikh and Tropsha, 2002). Further the observed and predicted values are close to each other (Table 10), the QSAR model for anticancer activity of synthesized compounds against HCT 116 cell lines (Eq. (7)) is a valid one.

Table 10 Comparison of observed and predicted anticancer activity obtained by developed QSAR models.
Comp. pIC50 MCF 7 pIC50 HCT 116
Obs. Pre. Res. Obs. Pre. Res.
Training set
1 1.42 1.47 −0.05 1.42 1.39 0.03
2 0.96 1.30 −0.34 0.28 1.10 −0.83
3 1.32 1.21 0.11 1.29 1.32 −0.03
4 0.99 1.13 −0.14 1.16 1.19 −0.02
5 0.95 0.89 0.06 0.95 0.77 0.18
6 1.22 1.13 0.09 1.16 1.21 −0.04
7 0.72 0.98 −0.26 0.80 0.86 −0.06
8 1.10 0.98 0.12 0.65 0.86 −0.20
9 0.23 1.16 −0.93 NA 0.89
10 −0.08 0.98 −1.05 −0.20 0.86 −1.06
11 1.36 0.49 0.86 1.33 0.98 0.35
12 1.30 1.25 0.05 1.30 1.11 0.19
13 1.45 0.58 0.87 NA 1.08
14 1.12 1.05 0.07 1.08 1.11 −0.04
Test set
15 1.27 1.21 0.06 0.90 1.18 −0.28
16 1.30 1.16 0.14 1.17 0.92 0.26
17 1.35 0.14 0.77 1.02 0.80 0.17

The anticancer activity of benzodiazepine derivatives against breast cancer cell line MCF 7 was best described by the topological parameter, Kier’s alpha second order shape index (κα2), (Table 9, Eq. (8)).

3.5.2.2
3.5.2.2 QSAR model for anticancer activity against MCF 7 cell lines

(8)
pIC 50 MCF 7 = - 0.598 κ α 2 + 7.376 n = 9 r = 0.802 q 2 = 0.431 s = 0.139 F = 12.62

The anticancer activity of synthesized compounds against MCF 7 cell lines is negatively correlated with κα2 which means that anticancer potential of synthesized compounds will increase with decrease in their κα2 values.

The validity and predictability of the developed QSAR model (Eq. (8)) was cross validated by q2 value (q2 = 0.431) obtained by leave one out (LOO) method. The value of q2 less than 0.5 indicated that the developed model is an invalid one, but one should not forget the recommendations of Golbraikh and Tropsha (2002) who reported that the only way to estimate the true predictive power of a model is to test their ability to predict accurately the biological activities of compounds. As the observed and predicted values are close to each other (Table 10), the QSAR model for anticancer activity against MCF 7 cell lines (Eq. (8) is therefore a valid one (Golbraikh and Tropsha, 2002). True predictive power of a QSAR model is to test their ability to predict accurately the biological activities of compounds from an external test set (compounds which were not used for the model development). The low residual activity values observed in case of test set (15–17) justify the selection of the multiple linear regression models expressed by Eqs. (2), (4), (6), (7) and (8).

It was observed from developed QSAR models (Eqs. (7) and (8)) that anticancer activity of synthesized benzodiazepine derivatives against HCT 116 and MCF 7 cancer cell lines is governed by electronic parameter LUMO and topological parameter Kier’s alpha second order shape index (κα2) respectively.

Generally for QSAR studies, the biological activities of compounds should span 2–3 orders of magnitude. But in the present study the range of antimicrobial and anticancer activities of the synthesized compounds is within one order of magnitude. This is similar to the results obtained by Bajaj et al. (2005) who stated that the reliability of the QSAR model lies in its predictive ability even though the activity data are in the narrow range. The low residual values observed in Tables 7 and 10 justify the QSAR studies with the synthesized benzodiazepine derivatives. When biological activity data lie in the narrow range, the presence of minimum standard deviation of the biological activity justifies its use in QSAR studies (Narasimhan et al., 2007). The minimum standard deviation (Tables 2 and 4) observed in the antimicrobial and anticancer activity data justifies its use in QSAR studies.

4

4 Statistical analysis

Forward stepwise regression was used for QSAR studies. Simple linear regression involves estimating the straight line Y = b0 + b1X; where Y is the predicted value of the response variable, Y, at a given value of the predictor variable, X. The intercept, b0, estimates the value of the response when the predictor is 0, and the slope, b1, estimates the average change in the response for a unit change in the predictor (Slinker and Glantz, 2008).

5

5 Conclusion

A series of 1-[4-(substituted phenyl)-2-(substituted phenyl azomethyl)-benzo[b]-[1,4]diazepin-1-yl]-2-substituted phenylaminoethanones (1–17) was synthesized and evaluated for its in vitro antimicrobial and anticancer activities. Antimicrobial study results indicated that 1-[4-[4-chloro-phenyl)-2-[(3-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(2-methyl-5-nitro-phenyl amino)-ethanone (16) and 1-[4-(3,4-dimethoxy-phenyl)-2-[(4-nitro-phenylazo)-methyl]-benzo[b][1,4]diazepin-1-yl]-2-(3-nitrophenylamino)-ethanone (17) were found to be the most effective antimicrobial agents. The anticancer screening results indicated that all the synthesized compounds were less active than the standard drug 5-fluorouracil (5-FU) and 1-[4-(4-dimethylamino-phenyl)-2-(p-tolylazo-methyl)-benzo[b][1,4]diazepin-1-yl]-2-phenyl aminoethanone (1, IC50 = 1.42 μM/mL against HCT 116 cancer cell lines) was the most potent anticancer agent and was more potent than 5-FU. The results of QSAR studies demonstrated the importance of topological parameters, Kier’s alpha first order shape index (κα1) and valence zero order molecular connectivity index (0χv) in describing antimicrobial activity, LUMO and κα2 in describing anticancer activity of synthesized compounds.

References

  1. , , , . Synthesis and antimicrobial activity of pyrazolinones and pyrazoles having benzothiazole moiety. Med. Chem. Res.. 2012;21:1261-1270.
    [Google Scholar]
  2. , , , . Prediction of anti-inflammatory activity of N-arylanthranilic acids: computational approach using refined Zagreb Indices. Croat. Chem. Acta. 2005;78(2):165-174.
    [Google Scholar]
  3. , . Highly discriminating distance based topological indices. Chem. Phys. Lett.. 1982;89:399-404.
    [Google Scholar]
  4. , , . Microbiology-a Laboratory Manual. California: Addison Wesley; . 263
  5. , , , , . Synthesis and anti-anxiety activity of some 1-piperazino derivatives of 2,4-diphenyl-2,3-dihydro-1,5-benzodiazepine. Int. J. Drug Des. Discov.. 2010;1:136-139.
    [Google Scholar]
  6. , , , , , , , . Synthesis and in vitro anti-hepatitis B virus activities of 4-aryl-6-chloroquinolin-2-one and 5-aryl-7-chloro-1,4-benzodiazepine derivatives. Bioorg. Med. Chem. Lett.. 2008;18:3787-3789.
    [Google Scholar]
  7. , , , , , , , , . Computational chemistry development of a unified free energy Markov model for the distribution of 1300 chemicals to 38 different environmental or biological systems. J. Comput. Chem.. 2007;11:1909-1923.
    [Google Scholar]
  8. , , , , . The importance of outlier detection and training set selection for reliable environmental QSAR predictions. Bioorgan. Med. Chem.. 2004;12:5881-5889.
    [Google Scholar]
  9. , , , , . The importance of outlier detection and training set selection for reliable environmental QSAR predictions. Chemosphere. 2006;63:99-108.
    [Google Scholar]
  10. , , , , , , , . New 1,5-benzodiazepine compounds: activity at native GABAA receptors. Neuroscience. 2010;166:917-923.
    [Google Scholar]
  11. , , , , , , , . Synthesis and pharmacological screening of potential anticonvulsant agents using hybrid approach. Eur. J. Med. Chem.. 2010;45:857-863.
    [Google Scholar]
  12. , , . Beware of q2! J. Mol. Graphics. Model.. 2002;20:269-276.
    [Google Scholar]
  13. , , . Unified QSAR and network-based computational chemistry approach to antimicrobials, part 1: multispecies activity models for antifungals. J. Comput. Chem.. 2008;4:656-667.
    [Google Scholar]
  14. , , , , . Medicinal chemistry and bioinformatics-current trends in drugs discovery with networks topological indices. Curr. Top. Med. Chem.. 2007;10:1015-1029.
    [Google Scholar]
  15. , , , , , . A quantitative structure-activity relationship study on a novel class of calcium-entry blockers: 1-[{4-(aminoalkoxy)phenyl}sulphonyl]indolizines. J. Med. Chem.. 2003;38:867-873.
    [Google Scholar]
  16. , , . A method for the correlation of biological activity and chemical structure. J. Am. Chem. Soc.. 1964;86:1616-1626.
    [Google Scholar]
  17. , , , , , , . “Aromatic” substituent constants for structure-activity correlations. J. Med. Chem.. 1973;16:1207-1216.
    [Google Scholar]
  18. Hyperchem 6.0, 1993. Hypercube Inc, Florida.
  19. , , , , , , , , . Synthesis, antimycobacterial, antiviral, antimicrobial activity and QSAR studies of Isonicotinic acid-1-(substituted phenyl)-ethylidene/cycloheptylidene hydrazides. Med. Chem. Res.. 2012;21:1935-1952.
    [Google Scholar]
  20. , , , , , . Synthesis of new benzimidazole linked pyrrolo[2,1-c][1,4]benzodiazepine conjugates with efficient DNA-binding affinity and potent cytotoxicity. Bioorg. Med. Chem. Lett.. 2008;18:2594-2598.
    [Google Scholar]
  21. , , , , , , , , , , , , , . Synthesis, DNA-binding ability and anticancer activity of benzothiazole/benzoxazole–pyrrolo[2,1-c][1,4]benzodiazepine conjugates. Bioorgan. Med. Chem.. 2010;18:4747-4761.
    [Google Scholar]
  22. , , , , , , , , . Synthesis and biological evaluation of cinnamido linked pyrrolo[2,1-c][1,4]benzodiazepines as antimitotic agents. Eur. J. Med. Chem.. 2010;45:3870-3884.
    [Google Scholar]
  23. , , . Molecular Connectivity in Chemistry and Drug Research. NewYork: Academic Press; .
  24. , , . , , eds. Topological indices and related descriptors in QSAR and QSPR. Amsterdam: Gordon and Breach Sci. Pub.; . p. :455-489.
  25. , , , , . Polyethylene glycol (PEG-400): an efficient and recyclable reaction medium for the synthesis of novel 1,5-benzodiazepines and their antimicrobial activity. Chin. Chem. Lett.. 2011;22(1):65-68.
    [Google Scholar]
  26. , , , . Synthesis, antimicrobial, and QSAR studies of substituted benzamides. Bioorgan. Med. Chem.. 2007;15:4113-4124.
    [Google Scholar]
  27. , , , , , . Hansch analysis of substituted benzoic acid benzylidene/furan-2-yl-methylene hydrazides as antimicrobial agents. Eur. J. Med. Chem.. 2009;44:1853-1863.
    [Google Scholar]
  28. , , , , , , , . Benzylidene/2-chlorobenzylidene hydrazides: synthesis, antimicrobial activity, QSAR studies and antiviral evaluation. Eur. J. Med. Chem.. 2010;45:2806-2816.
    [Google Scholar]
  29. , , . Topological models for the prediction of anti-HIV activity of dihydro (alkylthio) (naphthylmethyl) oxopyrimidines. Bioorgan. Med. Chem.. 2005;13:1599-1604.
    [Google Scholar]
  30. , . Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J. Immunol. Methods. 1983;65(1–2):55-63.
    [Google Scholar]
  31. , , , , , , , , . Synthesis, antimycobacterial, antiviral, antimicrobial activity and QSAR studies of nicotinic acid benzylidene hydrazide derivatives. Med. Chem. Res.. 2012;21:1557-1576.
    [Google Scholar]
  32. , , , , , . Quantitative structure–activity relationship studies for prediction of antimicrobial activity of synthesized 2,4-hexadienoic acid derivatives. Bioorg. Med. Chem. Lett.. 2007;17:5836-5845.
    [Google Scholar]
  33. , , , , , , , , . A rapid computational filter for predicting the rate of human renal clearance. J. Mol. Graph. Model.. 2010;29(4):529-537.
    [Google Scholar]
  34. Pharmacopoeia of India, 2007. Controller of Publications, Ministry of Health, Govt. of India, New Delhi 1, 37.
  35. , , , , , . A combinatorial access to 1,5-benzodiazepine derivatives and their evaluation for aldose reductase inhibition. Tetrahedron. 2009;65:7741-7751.
    [Google Scholar]
  36. , , , , , . Unified QSAR approach to antimicrobials. Part 3: First multi-tasking QSAR model for Input-Coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds. Bioorgan. Med. Chem.. 2008;16:5871-5880.
    [Google Scholar]
  37. , . On characterization of molecular branching. J. Am. Chem. Soc.. 1975;97:6609-6615.
    [Google Scholar]
  38. , . Comparative regression analysis: regression based on a single descriptor. Croat. Chem. Acta. 1993;66:289-312.
    [Google Scholar]
  39. , , , , , . Copper complexes of imidazole-2-, pyrrole-2- and indol-3-carbaldehyde thiosemicarbazones: Inhibitory activity against fungi and bacteria. J. Inorg. Biochem.. 2005;99:2231-2239.
    [Google Scholar]
  40. , , . Multiple linear regression accounting for multiple simultaneous determinants of a continuous dependent variable. Circulation. 2008;117:1732-1737.
    [Google Scholar]
  41. , , , , , , , , , , . Synthesis and antifungal activity of (Z)-5-arylidenerhodanines. Bioorg. Med. Chem. Lett.. 2007;15:484-494.
    [Google Scholar]
  42. SPSS for Windows, 1999. Version 10.05, SPSS Inc., Bangalore, India.
  43. , , . Synthesis and biological activity of new benzodiazepines and benzothiazepines. Indian J. Heterocy. Ch.. 2009;19:121-124.
    [Google Scholar]
  44. TSAR 3D Version 3.3, 2000. Oxford Molecular Limited.
  45. , . Structural determination of paraffin boiling points. J. Am. Chem. Soc.. 1947;69:17-20.
    [Google Scholar]
Show Sections