Skip to main content
PMC home page
International Journal of Medicinal Chemistry logoLink to International Journal of Medicinal Chemistry
. 2017 Dec 26;2017:6873924. doi: 10.1155/2017/6873924

Synthesis, Antimicrobial, and Computational Evaluation of Novel Isobutylchalcones as Antimicrobial Agents

Afzal Basha Shaik 1,2,✉, Rajendra Prasad Yejella 1, Shahanaaz Shaik 3
PMCID: PMC5758854  PMID: 29441207

Abstract

A series of 25 new chalcones were synthesized by Claisen-Schmidt condensation, well characterized by spectroscopic data, and evaluated for their antibacterial and antifungal activities by serial tube dilution method. Among the compounds tested, A3 and A6 containing 2,4-dichlorophenyl and 2,4-difluorophenyl moiety, respectively, were found to be the most potent in the series against both bacterial and fungal strains with a MIC value of 16 µg/mL in each case. Further computational evaluation for antimicrobial activity was performed by atom based 3D-QSAR using PHASE™ software in order to have a correlation between the observed activities and predicted activities. The computational studies were in agreement with the in vitro antimicrobial results and had identified the most promising chalcones as antimicrobial agents and the responsible structural features for the proposed activity.

1. Introduction

The use of antimicrobial agents is critical for the successful treatment of infectious diseases. The existing batteries of antimicrobial agents we have in hand for the treatment of infectious diseases are insufficient to protect us over the long term [1–3]. The primary reason for this situation is inevitable drive of evolution that leads to antimicrobial resistance. At the same time, the nature of new emerging infections is depressing the field of science to predict with accuracy. Resistance to number of antimicrobial agents among a variety of clinically significant species of bacteria is becoming increasingly important global problem [4]. There are various problems arising with the use of antimicrobials such as local tissue irritation, interference with wound healing process, hypersensitivity reactions, systemic toxicity, narrow antimicrobial spectrum, and emergence of resistance. So the increasing clinical importance of drug-resistant microbial pathogens has lent additional urgency in antimicrobial research [5]. Hence there is a compelling need for designing and synthesizing novel drugs of potent, selective, shorter length treatments with less toxic antimicrobial drugs to fight against these lethal infectious diseases [6, 7].

Chalcones are a group of natural products containing two aryl rings (rings A and B) connected through a three-carbon spacer in the form of ketovinyl group (Figure 1). The spacer is reactive and is responsible for many of the biological activities of these compounds. The various biological activities exhibited by these compounds were reviewed [8–11] and some of them comprise antimicrobial [12–17], antitubercular [18, 19], anticancer [20–23], antioxidant [24, 25], antiprotozoal [26], anthelmintic [27], antimalarial [28], antiulcer [29], analgesic, and anti-inflammatory ones [30–32]. Among the above much of the work was done on the antimicrobial, anticancer, and anti-inflammatory activities and was reviewed [33, 34]. In the recent past, some researchers studied the antimicrobial potentiality of a range of chalcones containing different ring A and B portions [15, 35, 36] but not containing 4-isobutylphenyl moiety. Motivated by these previous studies on antimicrobial properties of chalcones, in the present work we synthesized a series of 4-isobutylacetophenone chalcones with variations in the ring B portion to study the influence of such substituents on antibacterial and antifungal activity of these compounds. Out of the 25 compounds, cytotoxic activity of the twenty compounds (A1–A20) was reported as a part of our study on isobutyl chalcones [37]. Herein we have synthesized additional five new compounds (A21–A25) in order to frame well-defined structure activity relationships for the proposed antimicrobial activity.

Figure 1.

Figure 1

Open in a new tab

Structure of chalcone.

2. Materials and Methods

2.1. General

All the chemicals used were of analytical grade and purchased from SD Fine and Himedia. 4-Isobutylacetophenone was obtained from Aldrich Chemical Co. Silica gel-G for TLC (Merck) was used as stationary phase and ethyl acetate : hexane (2 : 8) as mobile phase to check the purity of the compounds. UV light (254 nm) and iodine vapours were used to visualize the spots. Melting points were determined in open capillaries, using Boitus melting point apparatus, expressed in °C, and are uncorrected. The IR spectra were recorded using Bruker Vertex 80v spectrometer. 1H and 13C NMR spectra were recorded on Bruker AMX 400 MHz and chemical shifts are given in units as per million, downfield from tetramethylsilane (TMS) as the internal standard. MS spectra were recorded on Agilent LC-MS spectrometer and elemental analyses were carried out using a Carlo Erba 1108 elemental analyzer for C, H, and N.

2.2. Chemistry

2.2.1. Protocol for the Synthesis of Chalcones

Equimolar quantities of 4-isobutylacetophenone (0.001 moles) and the appropriate aldehyde (0.001 moles) were dissolved in ethanol (7.5 mL). To this mixture 7.5 mL of 50% aqueous KOH was added dropwise and the reaction mixture was left for 24 h at room temperature. Later, it was acidified with a mixture of hydrochloric acid and water (1 : 1), which resulted in the precipitation of target compounds (A1–A25). The chalcones were then filtered under vacuum, washed with water, dried, and recrystallized from ethanol (Scheme 1) [38, 39].

Scheme 1.

Scheme 1

Open in a new tab

Synthesis of chalcones (A1–A25). Reagents and conditions: (a) ethanol, KOH, and room temperature; (1) 1-(4-isobutylphenyl)ethanone; (2a-y) aromatic or heteroaromatic aldehyde. R = ring B; A1: 4′′-chlorophenyl; A2: 4′′-methylphenyl; A3: 2′′,4′′-dichlorophenyl; A4: 2′′-chlorophenyl; A5: 4′′-fluorophenyl; A6: 2′′,4′′-difluorophenyl; A7: 4′′-dimethylaminophenyl; A8: 3′′-bromophenyl; A9: 4′′-hydroxyphenyl; A10: 3′′-hydroxyphenyl; A11: 4′′-nitrophenyl; A12: 4′′-methoxyphenyl; A13: 3′′,4′′-dimethoxyphenyl; A14: 3′′,4′′,5′′-trimethoxyphenyl; A15: 2′′-pyridinyl; A16: 3′′-pyridinyl; A17: 4′′-pyridinyl; A18: 2′′-pyrrolyl; A19: 2′′-thienyl; A20: 5′′-bromofuran-2′′-yl; A21: 3′′,4′′-methylenedioxyphenyl; A22: 9′′-anthracenyl; A23: 1′′-phenyl-3′′-methylpyrazole-4′′-yl; A24: 3′′-methoxy-4′′-hydroxyphenyl; A25: 2′′-chloro-5′′-nitrophenyl.

2.2.2. (E)-1-(4′-Isobutylphenyl)-3-(4′′-chlorophenyl)-2-propen-1-one (A1)

Yield 92%; m.p. 136–138°C; IR (KBr, cm−1): 1659 (C=O), 1585 (C=C of Ar), 1505 (CH=CH), 835 (C-Cl), 3050 (Ar C-H), 2833 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.39 (1H, d, J = 17 Hz, -CO-CH=), 7.74 (1H, d, J = 17 Hz, =CH-Ar), 7.19–7.91 (8H, Ar-H), 0.92 (6H, d, J = 8 Hz, -(CH3)2), 1.75–1.95 (1H, m, -CH-), 2.72 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.77 (C-1), 122.65 (C-2), 142.79 (C-3), 129.41 (C-2′ and C-6′), 129.52 (C-3′ and C-5′), 135.79 (C-1′), 147.53 (C-4′), 133.58 (C-1′′), 138.12 (C-4′′), 128.50 (C-2′′ and C-6′′), 129.22 (C-3′′ and C-5′′), 22.33 (-CH3, C of isobutyl group at C-4′′), 30.12 (-CH-, C of isobutyl group at C-4′′), 45.45 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 299.1 (M + 1, 99.16); Anal. Calcd for: C19H19ClO: C, 76.37; H, 6.41; Found: C, 76.40; H, 6.44.

2.2.3. (E)-1-(4′-Isobutylphenyl)-3-(4′′-methylphenyl)-2-propen-1-one (A2)

Yield 87%; m.p. 128–13°C; IR (KBr, cm−1): 1655 (C=O), 1602 (C=C of Ar), 1505 (CH=CH), 3010 (Ar C-H), 2921 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 2.30 (3H, s, Ar-CH3), 7.25 (1H, d, J = 17 Hz, -CO-CH=), 7.65 (1H, d, J = 17 Hz, =CH-Ar), 6.83–7.82 (8H, Ar-H), 0.89 (6H, d, J = 8 Hz, -(CH3)2), 1.70–1.92 (1H, m, -CH-), 2.65 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.67 (C-1), 121.65 (C-2), 140.97 (C-3), 126.51 (C-2′ and C-6′), 128.22 (C-3′ and C-5′), 132.12 (C-1′), 137.63 (C-4′), 134.89 (C-1′′), 145.12 (C-4′′), 127.09 (C-2′′ and C-6′′), 129.1 (C-3′′ and C-5′′), 22.80 (-CH3, C of isobutyl group at C-4′′), 29.12 (-CH-, C of isobutyl group at C-4′′), 45.72 (-CH2-, C of isobutyl group at C-4′′), 24.35 (-CH3 C at C-4′′); MS (m/z, %): 279.3 (M + 1, 99.08); Anal. Calcd for: C20H22O: C, 86.29; H, 7.97; Found: C, 86.32; H, 7.99.

2.2.4. (E)-1-(4′-Isobutylphenyl)-3-(2′′,4′′-dichlorophenyl)-2-propen-1-one (A3)

Yield 85%; m.p. 149–151°C; IR (KBr, cm−1): 1655 (C=O), 1581 (C=C of Ar), 1510 (CH=CH), 833 (C-Cl), 3057 (Ar C-H), 2877 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.42 (1H, d, J = 17 Hz, -CO-CH=), 7.84 (1H, d, J = 17 Hz, =CH-Ar), 7.20–8.20 (7H, Ar-H), 1.11 (6H, d, J = 8 Hz, -(CH3)2), 1.99–2.13 (1H, m, -CH-), 2.73 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 190.11 (C-1), 121.78 (C-2), 141.21 (C-3), 130.03 (C-2′ and C-6′), 130.35 (C-3′ and C-5′), 134.25 (C-1′), 147.63 (C-4′), 132.71 (C-1′′), 135.27 (C-4′′), 132.69 (C-2′′), 129.23 (C-6′′), 130.79 (C-3′′), 126.72 (C-5′′), 23.11 (-CH3, C of isobutyl group at C-4′′), 29.31 (-CH-, C of isobutyl group at C-4′′), 45.91 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 334.1 (M + 1, 99.00); Anal. Calcd for: C19H18Cl2O: C, 68.48; H, 5.44; Found: C, 68.53; H, 5.49.

2.2.5. (E)-1-(4′-Isobutylphenyl)-3-(2′′-chlorophenyl)-2-propen-1-one (A4)

Yield 65%; m.p. 140–142°C; IR (KBr, cm−1): 1652 (C=O), 1583 (C=C of Ar), 1502 (CH=CH), 833 (C-Cl), 3120 (Ar C-H), 2920 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.31 (1H, d, J = 17 Hz, -CO-CH=), 7.74 (1H, d, J = 17 Hz, =CH-Ar), 6.87–7.91 (8H, Ar-H), 1.02 (6H, d, J = 8 Hz, -(CH3)2), 2.22–2.44 (1H, m, -CH-), 2.66 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.44 (C-1), 121.42 (C-2), 145.15 (C-3), 128.5 (C-2′ and C-6′), 129.5 (C-3′ and C-5′), 133.22 (C-1′), 146.71 (C-4′), 133.91 (C-1′′), 129.55 (C-4′′), 128.85 (C-2′′), 130.64 (C-6′′), 128.8 (C-3′′), 126.2 (C-5′′), 22.21 (-CH3, C of isobutyl group at C-4′′), 29.11 (-CH-, C of isobutyl group at C-4′′), 45.71 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 299.8 (M + 1, 99.22); Anal. Calcd for: C19H19ClO: C, 76.37; H, 6.41; Found: C, 76.42; H, 6.50.

2.2.6. (E)-1-(4′-Isobutylphenyl)-3-(4′′-fluorophenyl)-2-propen-1-one (A5)

Yield 85%; m.p. 142–144°C; IR (KBr, cm−1): 1664 (C=O), 1580 (C=C of Ar), 1524 (CH=CH), 928 (C-F), 3127 (Ar C-H), 2954 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.57 (1H, d, J = 17 Hz, -CO-CH=), 7.87 (1H, d, J = 17 Hz, =CH-Ar), 7.33–8.12 (8H, Ar-H), 1.00 (6H, d, J = 8 Hz, -(CH3)2), 1.80–2.04 (1H, m, -CH-), 2.75 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 190.21 (C-1), 124.52 (C-2), 145.29 (C-3), 129.44 (C-2′ and C-6′), 129.67 (C-3′ and C-5′), 135.92 (C-1′), 144.76 (C-4′), 131.8 (C-1′′), 163.12 (C-4′′), 129.11 (C-2′′ and C-6′′), 118.98 (C-3′′ and C-5′′), 22.82 (-CH3, C of isobutyl group at C-4′′), 29.57 (-CH-, C of isobutyl group at C-4′′), 45.91 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 283.3 (M + 1, 99.08); Anal. Calcd for: C19H19FO: C, 80.82; H, 6.78; Found: C, 80.86; H, 6.85.

2.2.7. (E)-1-(4′-Isobutylphenyl)-3-(2′′,4′′-difluorophenyl)-2-propen-1-one (A6)

Yield 79%; m.p. 163–165°C; IR (KBr, cm−1): 1655 (C=O), 1581 (C=C of Ar), 1510 (CH=CH), 925 (C-F), 926 (C-F), 3040 (Ar C-H), 2933 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.49 (1H, d, J = 17 Hz, -CO-CH=), 7.99 (1H, d, J = 17 Hz, =CH-Ar), 7.11–8.20 (7H, Ar-H), 1.19 (6H, d, J = 8 Hz, -(CH3)2), 2.10–2.41 (1H, m, -CH-), 2.91 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 190.23 (C-1), 122.1 (C-2), 146.2 (C-3), 134.8 (C-2′ and C-6′), 129.52 (C-3′ and C-5′), 134.55 (C-1′), 147.29 (C-4′), 134.11 (C-1′′), 165.42 (C-4′′), 159.51 (C-2′′), 129.6 (C-6′′), 109.29 (C-3′′), 112.0 (C-5′′), 23.21 (-CH3, C of isobutyl group at C-4′′), 30.12 (-CH-, C of isobutyl group at C-4′′), 45.81 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 301.3 (M + 1, 99.01); Anal. Calcd for: C19H19FO: C, 75.98; H, 6.04; Found: C, 76.03; H, 6.06.

2.2.8. (E)-1-(4′-Isobutylphenyl)-3-(4′′-dimethylaminophenyl)-2-propen-1-one (A7)

Yield 82%; m.p. 138–140°C; IR (KBr, cm−1): 1650 (C=O), 1586 (C=C of Ar), 1505 (CH=CH), 1178 (-N(CH3)2), 3198 (Ar C-H), 2940 (Alkyl C-H); 1H NMR (100 MHz, CDCl3, ppm): δ 3.10 (6H, s, -N(CH3)2), 7.29 (1H, d, J = 17 Hz, -CO-CH=), 7.75 (1H, d, J = 17 Hz, =CH-Ar), 6.64–8.10 (8H, Ar-H), 0.98 (6H, d, J = 8 Hz, -(CH3)2), 2.19–2.33 (1H, m, -CH-), 2.58 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 186.61 (C-1), 120.10 (C-2), 144.65 (C-3), 130.11 (C-2′ and C-6′), 128.45 (C-3′ and C-5′), 135.67 (C-1′), 146.81 (C-4′), 133.31 (C-1′′) 167.22 (C-4′′), 159.51 (C-2′′), 129.61 (C-6′′), 109.29 (C-3′′), 111.03 (C-5′′), 23.10 (-CH3, C of isobutyl group at C-4′′), 30.33 (-CH-, C of isobutyl group at C-4′′), 45.99 (-CH2-, C of isobutyl group at C-4′′), 40.33 (-N(CH3)2,); MS (m/z, %): 308.4 (M + 1, 99.09); Anal. Calcd for: C21H25NO: C, 82.04; H, 8.20; N, 4.56; Found: C, 82.09; H, 8.23; N, 4.59.

2.2.9. (E)-1-(4′-Isobutylphenyl)-3-(3′′-bromophenyl)-2-propen-1-one (A8)

Yield 80%; m.p. 107–109°C; IR (KBr, cm−1): 1650 (C=O), 1605 (C=C of Ar), 1502 (CH=CH), 969 (C-Br), 3155 (Ar C-H), 2836 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.36 (1H, d, J = 17 Hz, -CO-CH=), 7.79 (1H, d, J = 17 Hz, =CH-Ar), 7.19–8.09 (8H, Ar-H), 1.01 (6H, d, J = 8 Hz, -(CH3)2), 2.02–2.20 (1H, m, -CH-), 2.58 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.37 (C-1), 123.09 (C-2), 146.27 (C-3), 131.21 (C-2′ and C-6′), 129.27 (C-3′ and C-5′), 136.13 (C-1′), 146.28 (C-4′), 137.42 (C-1′′), 131.12 (C-4′′ and C-5′′), 130.54 (C-2′′), 124.43 (C-6′′), 127.67 (C-3′′), 22.92 (-CH3, C of isobutyl group at C-4′′), 30.12 (-CH-, C of isobutyl group at C-4′′), 45.61 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 343.2 (M + 1, 99.21); Anal. Calcd for: C19H19BrO: C, 66.48; H, 5.58; Found: C, 66.53; H, 5.63.

2.2.10. (E)-1-(4′-Isobutylphenyl)-3-(4′′-hydroxyphenyl)-2-propen-1-one (A9)

Yield 73%; m.p. 156–158°C; IR (KBr, cm−1): 3460 (O-H), 1648 (C=O), 1606 (C=C of Ar), 1505 (CH=CH), 3060 (Ar C-H), 2852 (Alkyl C-H); 1H NMR (100 MHz, CDCl3, ppm): δ 4.92 (1H, Ar-OH), 7.29 (1H, d, J = 17 Hz, -CO-CH=), 7.80 (1H, d, J = 17 Hz, =CH-Ar), 7.61–8.02 (8H, Ar-H), 1.02 (6H, d, J = 8 Hz, -(CH3)2), 1.92–2.01 (1H, m, -CH-), 2.40 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.52 (C-1), 122.87 (C-2), 148.32 (C-3), 131.26 (C-2′ and C-6′), 128.91 (C-3′ and C-5′), 134.99 (C-1′), 145.56 (C-4′), 133.54 (C-1′′), 159.35 (C-4′′), 129.11 (C-2′′ and C-6′′), 120.21 (C-3′′ and C-5′′), 23.45 (-CH3, C of isobutyl group at C-4′), 29.92 (-CH-, C of isobutyl group at C-4′), 44.99 (-CH2-, C of isobutyl group at C-4′); MS (m/z, %): 281.3 (M + 1, 99.16); Anal. Calcd for: C19H19O2: C, 81.40; H, 7.19; Found: C, 81.45; H, 7.24.

2.2.11. (E)-1-(4′-Isobutylphenyl)-3-(3′′-hydroxyphenyl)-2-propen-1-one (A10)

Yield 65%; m.p. 152–154°C; IR (KBr, cm−1): 3520 (O-H), 1648 (C=O), 1612 (C=C of Ar), 1505 (CH=CH), 3111 (Ar C-H), 2928 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 4.80 (1H, Ar-OH), 7.26 (1H, d, J = 17 Hz, -CO-CH=), 7.71 (1H, d, J = 17 Hz, =CH-Ar), 6.85–8.00 (8H, Ar-H), 1.01 (6H, d, J = 8 Hz, -(CH3)2), 2.19–2.31 (1H, m, -CH-), 2.45 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.96 (C-1), 123.13 (C-2), 148.77 (C-3), 132.11 (C-2′ and C-6′), 129.56 (C-3′ and C-5′), 135.43 (C-1′), 146.12 (C-4′), 136.62 (C-1′′), 115.21 (C-2′′), 159.43 (C-3′′), 118.46 (C-4′′), 130.13 (C-5′′), 120.14 (C-6′′), 22.67 (-CH3, C of isobutyl group at C-4′), 29.39 (-CH-, C of isobutyl group at C-4′), 44.17 (-CH2-, C of isobutyl group at C-4′); MS (m/z, %): 280.3 (M + 1, 99.10); Anal. Calcd for: C19H19O2: C, 81.40; H, 7.19; Found: C, 81.45; H, 7.24.

2.2.12. (E)-1-(4′-Isobutylphenyl)-3-(4′′-nitrophenyl)-2-propen-1-one (A11)

Yield 95%; m.p. 190–192°C; IR (KBr, cm−1): 1652 (C=O), 1610 (C=C of Ar), 1502 (CH=CH), 1541 (N=O, asymmetric), 1346 (N=O, symmetric), 3092 (Ar C-H), 2951 (Alkyl C-H). 1H NMR (400 MHz, CDCl3, δ): 7.35 (1H, d, J = 17 Hz, -CO-CH=), 7.84 (1H, d, J = 17 Hz, =CH-Ar), 7.05–7.95 (8H, Ar-H), 0.91 (6H, d, J = 8 Hz, -(CH3)2), 2.10–2.13 (1H, m, -CH-), 2.33 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3): δ 190.22 (C-1), 123.68 (C-2), 147.56 (C-3), 133.13 (C-2′ and C-6′), 131.58 (C-3′ and C-5′), 137.02 (C-1′), 148.31 (C-4′), 142.41 (C-1′′), 152.32 (C-4′′), 128.23 (C-2′′ and C-6′′), 122.11 (C-3′′ and C-5′′), 22.18 (-CH3, C of isobutyl group at C-4′), 28.98 (-CH-, C of isobutyl group at C-4′) and 43.87 (-CH2-, C of isobutyl group at C-4′); MS (m/z, %): 310.3 (M + 1, 99.38); Anal. Calcd for: C19H19NO3: C, 73.77; H, 6.19; N, 4.53; Found: C, 73.80; H, 6.24; N, 4.59.

2.2.13. (E)-1-(4′-Isobutylphenyl)-3-(4′′-methoxyphenyl)-2-propen-1-one (A12)

Yield 79%; m.p. 149–151°C; IR (KBr, cm−1): 1655 (C=O), 1605 (C=C of Ar), 1508 (CH=CH), 1125 (-OCH3), 3054 (Ar C-H), 2956 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 3.90 (3H, s, Ar-OCH3), 7.19 (1H, d, J = 17 Hz, -CO-CH=), 7.74 (1H, d, J = 17 Hz, =CH-Ar), 6.71–8.08 (8H, Ar-H), 0.80 (6H, d, J = 8 Hz, -(CH3)2), 1.62–1.84 (1H, m, -CH-), 2.09 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.05 (C-1), 121.12 (C-2), 142.97 (C-3), 127.85 (C-2′ and C-6′), 129.51 (C-3′ and C-5′), 133.53 (C-1′), 143.32 (C-4′), 134.89 (C-1′′) 145.12 (C-4′′), 127.09 (C-2′′ and C-6′′), 115.51 (C-3′′ and C-5′′), 22.31 (-CH3, C of isobutyl group at C-4′′), 28.91 (-CH-, C of isobutyl group at C-4′′), 44.91 (-CH2-, C of isobutyl group at C-4′′), 55.99 (-OCH3 C at C-4′′); MS (m/z, %): 295.1 (M + 1, 99.28); Anal. Calcd for: C20H22O2: C, 81.60; H, 7.53; Found: C, 81.65; H, 7.57.

2.2.14. (E)-1-(4′-Isobutylphenyl)-3-(3′′,4′′-dimethoxyphenyl)-2-propen-1-one (A13)

Yield 66%; m.p. 146–148°C; IR (KBr, cm−1): 1655 (C=O), 1605 (C=C of Ar), 1500 (CH=CH), 1130 (-OCH3), 3066 (Ar C-H), 2839 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 3.95 (6H, s, 2x Ar-OCH3), 7.21 (1H, d, J = 17 Hz, -CO-CH=), 7.80 (1H, d, J = 17 Hz, =CH-Ar), 6.91–8.12 (6H, Ar-H), 1.00 (6H, d, J = 8 Hz, -(CH3)2), 2.21–2.42 (1H, m, -CH-), 2.55 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.55 (C-1), 121.01 (C-2), 142.31 (C-3), 129.61 (C-2′ and C-6′), 130.74 (C-3′ and C-5′), 134.20 (C-1′), 144.53 (C-4′), 128.29 (C-1′′) 112.22 (C-2′′), 149.90 (C-3′′ and C-4′′), 115.51 (C-5′′), 119.84 (C-6′′), 21.71 (-CH3, C of isobutyl group at C-4′′), 28.58 (-CH-, C of isobutyl group at C-4′′), 43.82 (-CH2-, C of isobutyl group at C-4′′), 56.71 (-OCH3 C at C-3′′ and C-4′′); 325.4 (M + 1, 99.42); Anal. Calcd for: C20H22O2: C, 77.75; H, 7.46; Found: C, 77.77; H, 7.47.

2.2.15. (E)-1-(4′-Isobutylphenyl)-3-(3′′,4′′,5′′-trimethoxyphenyl)-2-propen-1-one (A14)

Yield 70%; m.p. 180–182°C; IR (KBr, cm−1): 1652 (C=O), 1585 (C=C of Ar), 1462 (CH=CH), 1127 (-OCH3), 3110 (Ar C-H), 2853 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 3.90 (3H, s, Ar-OCH3), 3.92 (6H, s, 2x Ar-OCH3), 7.22 (1H, d, J = 17 Hz, -CO-CH=), 7.53 (1H, d, J = 17 Hz, =CH-Ar), 6.85–8.07 (6H, Ar-H), 1.08 (6H, d, J = 8 Hz, -(CH3)2), 2.29–2.45 (1H, m, -CH-), 2.65 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.11 (C-1), 121.33 (C-2), 141.86 (C-3), 128.11 (C-2′ and C-6′), 130.99 (C-3′ and C-5′), 134.73 (C-1′), 146.24 (C-4′), 129.93 (C-1′′), 102.91 (C-2′′ and C-6′′), 151.04 (C-3′′ and C-5′′), 139.29 (C-4′′), 21.91 (-CH3, C of isobutyl group at C-4′′), 29.34 (-CH-, C of isobutyl group at C-4′′), 45.56 (-CH2-, C of isobutyl group at C-4′′), 56.71 (-OCH3 C at C-3′′, C-4′′ and C-5′′); MS (m/z, %): 355.4 (M + 1, 99.06); Anal. Calcd for: C20H22O2: C, 74.55; H, 7.39; Found: C, 74.56; H, 7.43.

2.2.16. (E)-1-(4′-Isobutylphenyl)-3-(2′′-pyridinyl)-2-propen-1-one (A15)

Yield 76%; m.p. 132–134°C; IR (KBr, cm−1): 1651 (C=O), 1581 (C=N), 1604 (C=C of Ar), 1505 (CH=CH), 1368 (C-N), 3006 (Ar C-H), 2799 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.15 (1H, d, J = 17 Hz, -CO-CH=), 7.51 (1H, d, J = 17 Hz, =CH-Ar), 6.32–8.41 (8H, Ar-H), 1.91 (6H, d, J = 8 Hz, -(CH3)2), 1.89–2.09 (1H, m, -CH-), 2.33 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.70 (C-1), 127.73 (C-2), 140.32 (C-3), 128.39 (C-2′ and C-6′), 129.05 (C-3′ and C-5′), 134.94 (C-1′), 147.11 (C-4′), 155.75 (C-2′′), 122.02 (C-3′′), 137.39 (C-4′′), 123.09 (C-5′′), 149.16 (C-5′′), 22.53 (-CH3, C of isobutyl group at C-4′′), 29.88 (-CH-, C of isobutyl group at C-4′′), 45.99 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 265.3 (M + 1, 99.32); Anal. Calcd for: C18H19NO: C, 81.47; H, 7.22; N, 5.28; Found: C, 81.51; H, 7.25; N, 5.33.

2.2.17. (E)-1-(4′-Isobutylphenyl)-3-(3′′-pyridinyl)-2-propen-1-one (A16)

Yield 86%; m.p. 143–145°C; IR (KBr, cm−1): 1645 (C=O), 1590 (C=N), 1603 (C=C of Ar), 1502 (CH=CH), 1370 (C-N), 3098 (Ar C-H), 2937 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.17 (1H, d, J = 17 Hz, -CO-CH=), 7.55 (1H, d, J = 17 Hz, =CH-Ar), 6.23–8.15 (8H, Ar-H), 0.99 (6H, d, J = 8 Hz, -(CH3)2), 1.90–2.13 (1H, m, -CH-), 2.59 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.20 (C-1), 127.31 (C-2), 143.32 (C-3), 127.91 (C-2′ and C-6′), 129.59 (C-3′ and C-5′), 134.77 (C-1′), 146.52 (C-4′), 151.25 (C-2′′), 132.26 (C-3′′), 133.53 (C-4′′), 123.85 (C-5′′), 149.99 (C-5′′), 22.11 (-CH3, C of isobutyl group at C-4′′), 29.59 (-CH-, C of isobutyl group at C-4′′), 45.12 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 265.3 (M + 1, 99.18); Anal. Calcd for: C18H19NO: C, 81.47; H, 7.22; N, 5.28; Found: C, 81.51; H, 7.25; N, 5.33.

2.2.18. (E)-1-(4′-Isobutylphenyl)-3-(4′′-pyridinyl)-2-propen-1-one (A17)

Yield 89%; m.p. 165–167°C; IR (KBr, cm−1): 1650 (C=O), 1581 (C=N), 1605 (C=C of Ar), 1505 (CH=CH), 1373 (C-N), 3101 (Ar C-H), 2811 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.26 (1H, d, J = 17 Hz, -CO-CH=), 7.61 (1H, d, J = 17 Hz, =CH-Ar), 6.21–8.59 (8H, Ar-H), 0.93 (6H, d, J = 8 Hz, -(CH3)2), 2.12–2.17 (1H, m, -CH-), 2.62 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.59 (C-1), 127.77 (C-2), 143.91 (C-3), 128.26 (C-2′ and C-6′), 128.88 (C-3′ and C-5′), 134.96 (C-1′), 146.97 (C-4′), 149.35 (C-2′′), 121.75 (C-3′′), 144.31 (C-4′′), 120.92 (C-5′′), 149.97 (C-5′′), 22.11 (-CH3, C of isobutyl group at C-4′′), 29.59 (-CH-, C of isobutyl group at C-4′′), 45.12 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 265.3 (M + 1, 99.20); Anal. Calcd for: C18H19NO: C, 81.47; H, 7.22; N, 5.28; Found: C, 81.51; H, 7.25; N, 5.33.

2.2.19. (E)-1-(4′-Isobutylphenyl)-3-(2′′-pyrrolyl)-2-propen-1-one (A18)

Yield 82%; m.p. 189–191°C; IR (KBr, cm−1): 1652 (C=O), 1588 (C=N), 1605 (C=C of Ar), 1506 (CH=CH), 1375 (C-N), 3121 (Ar C-H), 2935 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 5.10 (1H, s, -NH), 7.24 (1H, d, J = 17 Hz, -CO-CH=), 7.60 (1H, d, J = 17 Hz, =CH-Ar), 6.94–7.72 (7H, Ar-H), 0.95 (6H, d, J = 8 Hz, -(CH3)2), 1.85–2.07 (1H, m, -CH-), 2.55 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 187.51 (C-1), 126.23 (C-2), 132.74 (C-3), 129.17 (C-2′ and C-6′), 129.88 (C-3′ and C-5′), 134.61 (C-1′), 146.97 (C-4′), 129.51 (C-2′′), 112.56 (C-3′′), 108.26 (C-4′′), 119.39 (C-5′′), 23.12 (-CH3, C of isobutyl group at C-4′′), 30.63 (-CH-, C of isobutyl group at C-4′′), 47.99 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 299.1 (M + 1, 99.16); Anal. Calcd for: C17H19NO: C, 80.60; H, 7.56; N, 5.53; Found: C, 80.64; H, 7.59; N, 5.54.

2.2.20. (E)-1-(4′-Isobutylphenyl)-3-(2′′-thienyl)-2-propen-1-one (A19)

Yield 86%; m.p. 179–181°C; IR (KBr, cm−1): 1655 (C=O), 1610 (C=C of Ar), 1505 (CH=CH), 624 (C-S), 3119 (Ar C-H), 2954 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.34 (1H, d, J = 17 Hz, -CO-CH=), 7.82 (1H, d, J = 17 Hz, =CH-Ar), 6.85–8.30 (7H, Ar-H), 0.85 (6H, d, J = 8 Hz, -(CH3)2), 1.71–2.09 (1H, m, -CH-), 2.99 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.98 (C-1), 127.95 (C-2), 134.26 (C-3), 130.76 (C-2′ and C-6′), 129.76 (C-3′ and C-5′), 135.84 (C-1′), 147.38 (C-4′), 138.85 (C-2′′), 128.21 (C-3′′), 129.15 (C-4′′), 130.19 (C-5′′), 22.91 (-CH3, C of isobutyl group at C-4′′), 30.11 (-CH-, C of isobutyl group at C-4′′), 47.12 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 254.3 (M + 1, 99.04); Anal. Calcd for: C17H18SO: C, 75.51; H, 6.71; Found: C, 75.55; H, 6.73.

2.2.21. (E)-1-(4′-Isobutylphenyl)-3-(5′′-bromofuran-2′′-yl)-2-propen-1-one (A20)

Yield 85%; m.p. 149–151°C; IR (KBr, cm−1): 1652 (C=O), 1585 (C=C of Ar), 1503 (CH=CH), 2959 (Ar C-H), 2713 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.19 (1H, d, J = 17 Hz, -CO-CH=), 7.79 (1H, d, J = 17 Hz, =CH-Ar), 6.89–7.85 (7H, Ar-H), 1.01 (6H, d, J = 8 Hz, -(CH3)2), 2.05–2.22 (1H, m, -CH-), 2.62 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 189.88 (C-1), 127.58 (C-2), 131.43 (C-3), 130.21 (C-2′ and C-6′), 128.95 (C-3′ and C-5′), 135.13 (C-1′), 146.88 (C-4′), 154.81 (C-2′′), 114.38 (C-3′′), 114.67 (C-4′′), 123.12 (C-5′′), 22.65 (-CH3, C of isobutyl group at C-4′′), 29.81 (-CH-, C of isobutyl group at C-4′′), 46.66 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 334.2 (M + 1, 99.42); Anal. Calcd for: C17H17BrO2: C, 61.28; H, 5.14; Found: C, 61.33; H, 5.17.

2.2.22. (E)-1-(4′-Isobutylphenyl)-3-(3′′,4′′-methylenedioxyphenyl)-2-propen-1-one (A21)

Yield 78%; m.p. 102–104°C; IR (KBr, cm−1): 1643 (C=O), 1574 (C=C of Ar), 1500 (CH=CH), 1240 (O-CH2-O), 3122 (Ar C-H), 2963 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 5.92 (2H, s, -O-CH2O-), 7.25 (1H, d, J = 17 Hz, -CO-CH=), 7.77 (1H, d, J = 17 Hz, =CH-Ar), 6.84–8.09 (7H, Ar-H), 1.10 (6H, d, J = 8 Hz, -(CH3)2), 2.33–2.51 (1H, m, -CH-), 2.66 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.78 (C-1), 122.76 (C-2), 143.23 (C-3), 129.28 (C-2′ and C-6′), 129.91 (C-3′ and C-5′), 134.43 (C-1′), 147.82 (C-4′), 154.81 (C-2′′), 115.67 (C-3′′), 116.76 (C-4′′), 122.21 (C-5′′), 22.63 (-CH3, C of isobutyl group at C-4′′), 29.43 (-CH-, C of isobutyl group at C-4′′), 45.78 (-CH2-, C of isobutyl group at C-4′′), 101.25 (-CH2-, C of methylenedioxy group); MS (m/z, %): 309.2 (M + 1, 99.02); Anal. Calcd for: C20H20O3: C, 77.90; H, 6.54; Found: C, 77.94; H, 6.56.

2.2.23. (E)-1-(4′-Isobutylphenyl)-3-(4′′-anthracenyl)-2-propen-1-one (A22)

Yield 66%; m.p. 146–148°C; IR (KBr, cm−1): 1658 (C=O), 1605 (C=C of Ar), 1503 (CH=CH), 3011 (Ar C-H), 2883 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.20 (1H, d, J = 17 Hz, -CO-CH=), 7.92 (1H, d, J = 17 Hz, =CH-Ar), 6.90–9.40 (13H, Ar-H), 0.80 (6H, d, J = 8 Hz, -(CH3)2), 1.72–1.92 (1H, m, -CH-), 2.46 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 188.55 (C-1), 121.01 (C-2), 142.31 (C-3), 129.61 (C-2′ and C-6′), 130.74 (C-3′ and C-5′), 134.20 (C-1′), 144.53 (C-4′), 121.62–133.12 (14 Cs of anthracenyl ring), 21.71 (-CH3, C of isobutyl group at C-4′), 28.58 (-CH-, C of isobutyl group at C-4′′), 43.82 (-CH2-, C of isobutyl group at C-4′′), 56.71 (-OCH3 C at C-3′′ and C-4′′); MS (m/z, %): 265.4 (M + 1, 98.8); Anal. Calcd for: C20H22O2: C, 77.75; H, 7.46; Found: C, 77.77; H, 7.47.

2.2.24. (E)-1-(4′-Isobutylphenyl)-3-(1′′-phenyl-3′′methylpyrazole-4′′-yl)-2-propen-1-one (A23)

Yield 60%; m.p. 139–141°C; IR (KBr, cm−1): 1663 (C=O), 1610 (C=N), 1588 (C=C of Ar), 1510 (CH=CH), 1391 (C-N), 3105 (Ar C-H), 2732 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 2.15 (3H, s, -CH3) 7.24 (1H, d, J = 17 Hz, -CO-CH=), 7.82 (1H, d, J = 17 Hz, =CH-Ar), 6.85–8.11 (10H, Ar-H), 0.85 (6H, d, J = 8 Hz, -(CH3)2), 1.75–1.99 (1H, m, -CH-), 2.46 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 186.21 (C-1), 122.45 (C-2), 140.81 (C-3), 129.61 (C-2′ and C-6′), 131.07 (C-3′ and C-5′), 134.21 (C-1′), 145.46 (C-4′), 149.22 (C-3′′ of pyrazole ring), 114.64 (C-4′′ of pyrazole ring), 131.71 (C-5′′ of pyrazole ring), 119–130 (6 Carbons of N-1 phenyl of pyrazole), 22.34 (-CH3, C of isobutyl group at C-4′′), 29.67 (-CH-, C of isobutyl group at C-4′′), 46.11 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 345.4 (M + 1, 98.18); Anal. Calcd for: C23H24N2O: C, 80.20; H, 7.02; N, 8.13; Found: C, 80.24; H, 7.04; N, 8.14.

2.2.25. (E)-1-(4′-Isobutylphenyl)-3-(3′′-methoxy-4′′-hydroxyphenyl)-2-propen-1-one (A24)

Yield 71%; m.p. 126–128°C; IR (KBr, cm−1): 3450 (O-H), 1648 (C=O), 1606 (C=C of Ar), 1510 (CH=CH), 1225 (-OCH3), 3001 (Ar C-H), 2833 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 3.65 (3H, s, -OCH3), 5.20 (1H, s, Ar-OH), 7.29 (1H, d, J = 17 Hz, -CO-CH=), 7.80 (1H, d, J = 17 Hz, =CH-Ar), 6.91–8.09 (7H, Ar-H), 1.01 (6H, d, J = 8 Hz, -(CH3)2), 2.22–2.44 (1H, m, -CH-), 2.61 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): 188.45 (C-1), 120.21 (C-2), 141.67 (C-3), 128.63 (C-2′ and C-6′), 130.34 (C-3′ and C-5′), 134.22 (C-1′), 143.12 (C-4′), 134.71 (C-1′′), 144.51 (C-4′′), 128.12 (C-2′′ and C-6′′), 116.42 (C-3′′ and C-5′′), 21.96 (-CH3, C of isobutyl group at C-4′′), 28.29 (-CH-, C of isobutyl group at C-4′′), 45.34 (-CH2-, C of isobutyl group at C-4′′), 51.35 (-OCH3 C at C-4′′); MS (m/z, %): 311.1 (M + 1, 98.56); Anal. Calcd for: C20H23O3: C, 77.39; H, 7.14; Found: C, 77.44; H, 7.16.

2.2.26. (E)-1-(4′-Isobutylphenyl)-3-(2′′-chloro-5′′-nitrophenyl)-2-propen-1-one (A25)

Yield 84%; m.p. 131–133°C; IR (KBr, cm−1): 1658 (C=O), 1603 (C=C of Ar), 1515 (CH=CH), 824 (C-Cl), 1525 (N=O, asymmetric), 1348 (N=O, symmetric), 3012 (Ar C-H), 2823 (Alkyl C-H); 1H NMR (400 MHz, CDCl3, ppm): δ 7.25 (1H, d, J = 17 Hz, -CO-CH=), 7.72 (1H, d, J = 17 Hz, =CH-Ar), 6.89–8.01 (7H, Ar-H), 1.02 (6H, d, J = 8 Hz, -(CH3)2), 2.25–2.41 (1H, m, -CH-), 2.65 (2H, d, J = 8 Hz, -CH2-); 13C NMR (100 MHz, CDCl3, ppm): δ 187.02 (C-1), 126.11 (C-2), 144.42 (C-3), 128.92 (C-2′ and C-6′), 130.24 (C-3′ and C-5′), 133.92 (C-1′), 147.13 (C-4′), 152.69 (C-2′′), 133.21 (C-3′′), 134.66 (C-4′′), 124.99 (C-5′′), 22.01 (-CH3, C of isobutyl group at C-4′′), 28.21 (-CH-, C of isobutyl group at C-4′′), 46.11 (-CH2-, C of isobutyl group at C-4′′); MS (m/z, %): 344.8 (M + 1, 99.0); Anal. Calcd for: C19H18ClNO3: C, 81.47; H, 7.22; N, 5.28; Found: C, 81.51; H, 7.25; N, 5.33.

2.3. Antimicrobial Evaluation

The antimicrobial activity was performed against four bacterial and two fungal strains. The organisms selected were the Gram-positive Bacillus subtilis (NCIM-2079, Bs), Staphylococcus aureus (NCIM-2063, Sa), Gram-negative Escherichia coli (NCIM-2068, Ec), and Proteus vulgaris (NCIM-2027, Pv) and the fungal strains Aspergillus niger (ATCC-6275, An) and Candida tropicalis (ATCC-1369, Ca). Serial tube dilution method was employed and the minimum inhibitory concentration was determined [40] for each compound. 2.048 mg of each test compound was placed in vials separately and 2 mL of methanol was added and a solution of the concentration 1.024 mg/mL was obtained. The test bacterium which was grown at 37°C in nutrient agar medium was diluted in sterile nutrient broth medium to get a suspension containing about 107 cells/mL and was used as the inoculum. 11 test tubes were taken, 9 of which were marked as 1, 2, 3, 4, 5, 6, 7, 8, and 9 and the remaining two were assigned as TM (medium) and TMI (medium + inoculum). 1 mL of nutrient broth medium was poured into all the 11 test tubes, and they were cotton plugged and sterilized in an autoclave at 15 lbs/sq.in pressure. After cooling, 1 mL of the sample solution was added in the first test tube and mixed well and then 1 mL of this content was transferred to the second test tube and the process of serial dilution was continued up to the ninth test tube. 10 μL of properly diluted inoculum was added to each of the nine test tubes and mixed well. 10 μL of the inoculum was added to the test tube TMI to observe the growth of the organism in the medium used. The controlled test tube TM containing only the medium was used to confirm the sterility of the medium. All the test tubes were incubated at 37°C for 18 h. A similar experiment with medium, methanol, and inoculum without compound was also performed to ensure that the methanol has no inhibitory effect on the dilutions used. The test tube number in which the first sign of growth of the organism was observed was noted. The MIC was taken as that concentration used in the test tube number just prior to the test tube number where the first sign of growth was observed. This procedure was followed to determine the MIC values for all the compounds. The same procedure was followed for antifungal activity testing except that Potato-Dextrose-Agar medium was used.

2.4. Atom Based 3D-QSAR Studies of Chalcones

The employed methodology deals with development of atom based 3D-QSAR models to predict the antibacterial and antifungal activity for the synthesized chalcones. By these studies, it is possible to understand how the compounds interact with the target. The results emerging out of these studies can be used to identify new active ligands. For this reason, PHASE v 3.1 (Schrödinger LLC, Portland, Oregon, USA; https://www.schrodinger.com/) was used to carry out the defined studies.

2.4.1. Data Set Selection

The data set consists of structurally diverse compounds having antibacterial and antifungal activities against B. subtilis, S. aureus, E. coli, P. vulgaris, A. niger, and C. tropicalis. The selected series of chalcones (A1–A25) and their antibacterial and antifungal activities are given in Table 1. The MIC (µg/mL) values were taken into account to assess the antibacterial and antifungal activities of these compounds. The biological activities used in the present computational studies were represented as −log(MIC).

Table 1.

Antibacterial and antifungal activities of chalcones (MIC in µg/mL).

Compound R Bs Sa Ec Pv An Ct
A1 4′′-Chlorophenyl 32 32 64 64 32 64
A2 4′′-Methylphenyl 256 128 128 128 256 256
A3 2′′,4′′-Dichlorophenyl 16 16 16 16 16 16
A4 2′′-Chlorophenyl 64 64 128 128 64 64
A5 4′′-Fluorophenyl 32 32 64 64 16 32
A6 2′′,4′′-Difluorophenyl 16 16 16 16 16 16
A7 4′′-Dimethylaminophenyl 256 128 256 256 128 64
A8 3′′-Bromophenyl 128 128 128 128 64 128
A9 4′′-Hydroxyphenyl 64 64 64 64 128 128
A10 3′′-Hydroxyphenyl 256 256 128 256 128 64
A11 4′′-Nitrophenyl 128 64 64 128 64 64
A12 4′′-Methoxyphenyl 128 128 256 128 32 16
A13 3′′,4′′-Dimethoxyphenyl 256 128 256 128 64 128
A14 3′′,4′′,5′′-Trimethoxyphenyl 128 128 128 256 32 32
A15 2′′-Pyridinyl 64 128 64 128 32 64
A16 3′′-Pyridinyl 64 128 128 64 64 128
A17 4′′-Pyridinyl 64 128 128 64 32 16
A18 2′′-Pyrrolyl 128 256 128 256 64 32
A19 2′′-Thienyl 128 256 256 256 32 64
A20 5′′-Bromofuran-2′′-yl 64 128 64 128 64 32
A21 3′′,4′′-Methylenedioxyphenyl 256 256 64 64 64 128
A22 9′′-Anthracenyl 128 256 128 128 32 32
A23 1′′-Phenyl-3′′-methylpyrazole-4′′-yl 256 128 128 256 128 64
A24 3′′-Methoxy-4′′-hydroxyphenyl 264 128 64 64 64 32
A25 2′′-Chloro-5-nitrophenyl 64 64 32 32 64 32
Ampicillin   <1 <1 <1 <1 -- --
Fluconazole   -- -- -- -- <2 <2
Open in a new tab

Bs = Bacillus subtilis; Sa = Staphylococcus aureus; Ec = Escherichia coli; Pv = Proteus vulgaris; An = Aspergillus niger; Ct = Candida tropicalis.

2.4.2. Molecular Modeling (Energy Minimization)

The structures of all the 25 synthesized chalcones were modeled using Chemdraw Ultra 10.0 (Cambridge software), and then the modeled structure was copied to Chem3D Ultra 10.0 to create a 3D model which was subjected to energy minimization using molecular mechanics (MM2). The minimization was executed until the root-mean-square gradient value reached a value smaller than 0.001 kcal/mol. Such type of energy minimized structures was considered for molecular docking and 3D-QSAR studies. However, the corresponding MDL MOL files were prepared using Chem3D Ultra 10.0 integral options (save as /MDL MOL).

2.4.3. Generation of 3D-QSAR Models Using PHASE

In order to understand the structural differences between the active and inactive compounds, it was thought that it was proper to do a visual inspection of the aligned ligands and quantify these differences by building a 3D-QSAR model that identifies which functional groups contribute, either positively or negatively, to activity. PHASE generated individual atom based 3D-QSAR models by using a set of 25 chalcones, which all have been aligned in a three-dimensional space with reference of their antibacterial and antifungal activity data. From this set of 25 compounds, 20 compounds were selected to generate the 3D-QSAR model (i.e., the training set; see supplementary data for tables (available here)) and 5 compounds were selected to validate it (i.e., the test set). The criterion used to select these sets was purely based on a random selection in the percent ratio of 80 : 20.

2.4.4. PHASE'S Steps to Build the Atom Based 3D-QSAR Models

PHASE can use two alternative ways to generate the structural components that constitute the 3D-QSAR models, that is, the pharmacophore model and atom based 3D-QSAR. The atom based model is more useful for elucidating the structure activity relationships. In atom based 3D-QSAR models, a regression is performed by using the partial least-squares (PLS) method [where the independent variables are the binary-valued occupancies (i.e., the values are either 0 or 1) of the cubes by the different structural components]. Thus, in this model, the number of independent variables used is the 6N occupancies of the N cubes by the six available atom classes (i.e., each variable corresponds to a given cube and a given atom class) and the value for each variable can be 0 or 1. Therefore, the regression involves finding a linear least-squares relationship between the activity data (i.e., the dependent variable) and a special set of orthogonal factors that are linear combinations of the bit value variables (i.e., the independent variables). The accuracy of the 3D-QSAR models increases with increasing the number of PLS factors until overfitting starts to occur (where the maximum number of PLS factors is N/5 and N is the number of ligands). Thus, the PLS facilitates the identification of specific chemical features that tend to increase or decrease the estimated activity. The number of PLS used in the present study was 4. After that, the statistics for the training and test set were analyzed in order to produce a 3D-QSAR model with the best predictive power. Since the training sets employed in the present study have reduced structural diversity, the better model was obtained by using the atom based 3D-QSAR models. PHASE provides the means to build atom based 3D-QSAR models using the activities of the ligands without having a pharmacophore hypothesis in the Individual QSAR model panel.

2.4.5. 3D-QSAR Validation and Statistics

PHASE supports only the use of a true external test set (i.e., compounds which have not been used to build the model) to validate the 3D- QSAR model. For this reason, it is necessary to analyze the statistics obtained from the training and test sets. The main statistical properties that describe the 3D-QSAR model when the training set data is used are as follows: (a) the R-squared or R2 (i.e., the coefficient of determination, which can never be negative); (b) the standard deviation of regression or SD; (c) the F statistic (i.e., the overall significance of the model); and (d) the statistical significance or P (i.e., the probability that the correlation could occur by chance). Thus, in the case that the independent variables have no statistical relationship with the activity, R2 would be 0. On the other hand, the main statistical quantities describing the test set prediction are as follows: (a) the Q-squared or Q2 (i.e., equivalent to R2 but now, using the predicted and experimental test set activity values, in contrast to R2, it can take negative values); (b) the Pearson value or R (i.e., the Pearson correlation coefficient); and (c) the root-mean-square error or RMSE. At this point, it is worth remarking that there is not any single parameter that allows choosing the best model. In this sense, we have to consider all the statistic parameters reported by PHASE to evaluate the different 3D-QSAR models.

2.4.6. 3D-QSAR Model Visualization

Once the 3D-QSAR models have been generated, we have to visualize and analyze them. Thus, to understand how the structures of the ligands contribute either positively or negatively to the computed activity, the three-dimensional aspects of the 3D-QSAR model were examined. The visualization allows viewing the cubic volume elements occupied by one specific ligand or all the cubes in the 3D-QSAR model which shows the volume occlusion maps (i.e., the union of the cubes occupied by all the compounds from the set). In this visualization, the maps represent the regions of favourable and unfavourable interactions. The volume occlusion maps describe the spatial arrangement of favourable interactions to accept groups of the target protein. In Figures 2–7 red region indicates unfavourable region for substitution and blue region indicates favourable region for substitution.

Figure 2.

Figure 2

Open in a new tab

Atom based 3D-QSAR model for antibacterial activity of chalcones against B. subtilis.

Figure 3.

Figure 3

Open in a new tab

Atom based 3D-QSAR model for antibacterial activity of chalcones against S. aureus.

Figure 4.

Figure 4

Open in a new tab

Atom based 3D-QSAR model for antibacterial activity of chalcones against E. coli.

Figure 5.

Figure 5

Open in a new tab

Atom based 3D-QSAR model for antibacterial activity of chalcones against P. vulgaris.

Figure 6.

Figure 6

Open in a new tab

Atom based 3D-QSAR model for the antifungal activity of chalcones against A. niger.

Figure 7.

Figure 7

Open in a new tab

Atom based 3D-QSAR model for the antifungal activity of chalcones against C. tropicalis.

3. Results and Discussion

3.1. Chemistry

The conventional base-catalyzed Claisen-Schmidt condensation led to the synthesis of target compounds. Purification of the compounds was done by recrystallization employing ethanol as solvent. Structural elucidation of the compounds was done with the help of spectroscopic studies including IR, 1H NMR, 13C NMR, and MS. The spectral data of the compounds was in accordance with the anticipated structures. The IR spectra of these compounds give away characteristic -C=O stretching at 1645–1660 cm−1 and -C=C- stretching at 1450–1520 cm−1, respectively. Additional -C=C- and -C-H stretching at 1580–1610 cm−1 and 3010–3150 cm−1 had established the occurrence of aromatic rings. The 1H NMR spectra of the compounds were done by dissolving the compounds in CDCl3 and two diagnostic doublets in the spectrum around δ 6.7–7.4 and δ 7.3–7.8 ppm for -CO-CH= (α-H) and =CH-Ar (β-H), respectively, with coupling constant (J = 17 HZ) confirmed the formation and trans (E) arrangement of the chalcone bridge. Other protons exhibited additional resonance signals typically present in each compound. 13C NMR spectrum of the compounds publicized the characteristic signals around δ 186–191 (C-1), 120–128 (C-2), and 131–142 (C-3). The molecular ion peak in the mass spectrum further depicts the formation of chalcones. Elemental analysis results were within ±0.4% of the calculated values.

3.2. Antimicrobial Evaluation

The antimicrobial activity of the prepared chalcones was performed by serial tube method and their MIC values are summarized in Table 1. The standard drugs used were amoxicillin and fluconazole for antibacterial and antifungal activity, respectively, and the activity of all the tested compounds is less in comparison to the standard drugs (Table 1). The compounds A3 and A6 containing 2,4-dichlorophenyl and 2,4-difluorophenyl scaffolds at ring B portion of the chalcone bridge were found to be the most potent against all the bacterial and fungal strains with MIC value of 16 µg/mL. A1 having 4-chlorophenyl and A5 containing 4-fluorophenyl substitution were next in potency with a MIC value of 32 µg/mL against Gram-positive bacteria, B. subtilis and S. aureus, whereas A25 with 2-chloro-5-nitrophenyl moiety exhibited potency with a MIC value of 32 µg/mL against Gram-negative bacteria, E. coli and P. vulgaris. The compound A5 with 4-fluorophenyl moiety is equipotent with A3 and A6 against A. niger and A12 and A17 with 4-methoxyphenyl and 4-pyridyl moieties exhibited similar potency as that of A3 and A6 against C. tropicalis with a MIC value of 16 µg/mL. The other compounds carrying different electron withdrawing and electron releasing substituents were also found to be somewhat potent with MIC values ranging from 32 to 256 µg/mL. A structure-activity-relationship study from the results indicated the necessity of electron withdrawing groups like chlorine, fluorine, and nitro groups at different positions on ring B. In addition a combination of electron withdrawing and releasing groups on the phenyl ring or heteroaryl rings can be synthesized and tested with a hope to get promising antimicrobial agents.

3.3. Atom Based 3D-QSAR Studies of Chalcones

The set of 25 chalcones (A1–A25) were subjected to atom based 3D-QSAR analysis using Partial Least Square (PLS) method to identify the potential antibacterial and antifungal agents. The statistical parameters for the activities are displayed in Table 2 and are valid. In the Figures 2–7 red region indicates unfavourable region for substitution, and blue region indicates favourable region for substitution. The orientation in these cubes gives a clue to find favourable and unfavourable functional groups for the biological activity.

Table 2.

Summary of the atom based 3D-QSAR statistical data results.

Organism PLS factors SD R 2 F P RMSE Q-squared Pearson-R
B. subtilis 5 0.1405 0.9296 17.9 5.19e − 06 0.22 0.5219 0.6622
S. aureus 4 0.1345 0.9211 35 1.574e − 06 0.14 0.4623 0.7484
E. coli 5 0.0963 0.9623 56.2 1.848e − 07 0.15 0.4529 0.7285
P. vulgaris 5 0.1081 0.7262 51.5 1.507e − 07 0.28 0.5607 0.788
A. niger 5 0.041 0.9215 56.1 1.232e − 07 0.327 0.4529 0.7285
C. tropicalis 5 0.1068 0.9312 38.2 1.638e − 06 0.27 0.566 0.7109
Open in a new tab

The results clearly indicated the potential antibacterial activity of the chalcone (A6) having a 2,4-difluorophenyl moiety, as seen by more blue regions, and also proved the lowest activity of the chalcone (A10) as seen by fewer blue regions against B. subtilis. This computational observation was also consistent with the actual experimental results. These computational studies could predict the lowest antibacterial activity of the chalcone (A10) with 3-hydroxyphenyl moiety and this observation again was consistent with the actual results. Moreover this indicates the superior predictive ability of computational models. The chalcone (A6) having a 2,4-difluorophenyl moiety is capable of showing significant antibacterial activity and compound (A22) having 9-anthracenyl showed the least activity as evidenced by these computational studies against S. aureus. This was again consistent with the actual results. However, in the actual results some other compounds could also show similar effect against S. aureus. The chalcone (A6) also is capable of showing significant antibacterial activity and (A19) showed the least activity against E. coli. The chalcone (A6) having a 2,4-difluorophenyl substitution is capable of showing maximum antibacterial activity and A23 showed the least activity against P. vulgaris as evidenced by these computational studies, which was again consistent with the actual results. The compound A6 emerged as the most promising molecule while the compound A2 became the least potent compound against A. niger. Similarly the compound A3 was identified as the most promising and A2 as the least potent compound against C. tropicalis.

4. Conclusion

We report the synthesis, structural elucidation, and antimicrobial activities of a series of 4-isobutylacetophenone chalcones. These compounds can be synthesized in good yields. The compounds A3 and A6 exhibited prominent antibacterial and antifungal activity. In each case the contribution of electron withdrawing groups is remarkable in enhancing the activity. Further optimization on the leads can be attempted by introducing substituents on the 4-isobutylacetophenone moiety or on ring B portion in order to increase the activity. The observed −log(MIC) values from the actual results and the predicted −log(MIC) values through PLS method were well correlated, supporting the usefulness of these computational studies.

Acknowledgments

The authors would like to acknowledge the Ministry of Minority Affairs, Indian Government, for providing UGC-Maulana Azad National Fellowship for Afzal Basha Shaik to carry out the proposed work (F1-17.1/2012-13/MANF-2012-13-MUS-AND-15992/(SA-III/Website)).

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Supplementary Materials

Supplementary Materials

Table 3: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 4: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 5: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 6: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 7: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antifungal activity). Table 8: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antifungal activity).

Click here for additional data file. (381.9KB, pdf)

References

  • 1.Bax R., Mullan N., Verhoef J. The millennium bugs—the need for and development of new antibacterials. International Journal of Antimicrobial Agents. 2000;16(1):51–59. doi: 10.1016/S0924-8579(00)00189-8. [DOI] [PubMed] [Google Scholar]
  • 2.Coates A., Hu Y., Bax R., Page C. The future challenges facing the development of new antimicrobial drugs. Nature Reviews Drug Discovery. 2002;1(11):895–910. doi: 10.1038/nrd940. [DOI] [PubMed] [Google Scholar]
  • 3.Barrett C. T., Barrett J. F. Antibacterials: Are the new entries enough to deal with the emerging resistance problems? Current Opinion in Biotechnology. 2003;14(6):621–626. doi: 10.1016/j.copbio.2003.10.003. [DOI] [PubMed] [Google Scholar]
  • 4.Tunçbilek M., Kiper T., Altanlar N. Synthesis and in vitro antimicrobial activity of some novel substituted benzimidazole derivatives having potent activity against MRSA. European Journal of Medicinal Chemistry. 2009;44(3):1024–1033. doi: 10.1016/j.ejmech.2008.06.026. [DOI] [PubMed] [Google Scholar]
  • 5.Burger. Burger’s Medicinal Chemistry and Drug Discovery. 6th. Vol. 5. Hoboken, NJ, USA: John Wiley and Sons; 2003. [Google Scholar]
  • 6.Zimmerman B. E., Zimmerman D. J. Microbes and Diseases That Threaten Humanity. Chicago, Ill, USA: Contemporary Books; 2003. [Google Scholar]
  • 7.Bryskier A. In pursuit of new antibiotics. In: Bryskier A., editor. Antimicrobial Agents. Washington, DC, USA: ASM Press; 2005. pp. 1242–1259. [Google Scholar]
  • 8.Shaik Y., Vidya S. G., Shaik A. B. Biological and synthetic potentiality of chalcones: a review. Journal of Chemical and Pharmaceutical Research. 2015;7(11):829–842. [Google Scholar]
  • 9.Batovska D. I., Todorova I. T. Trends in utilization of the pharmacological potential of chalcones. Current Clinical Pharmacology. 2010;5(1):1–29. doi: 10.2174/157488410790410579. [DOI] [PubMed] [Google Scholar]
  • 10.Sahu N. K., Balbhadra S. S., Choudhary J., Kohli D. V. Exploring pharmacological significance of chalcone scaffold: a review. Current Medicinal Chemistry. 2012;19(2):209–225. doi: 10.2174/092986712803414132. [DOI] [PubMed] [Google Scholar]
  • 11.Dimmock J. R., Elias D. W., Beazely M. A., Kandepu N. M. Bioactivities of chalcones. Current Medicinal Chemistry. 1999;6(12):1125–1149. [PubMed] [Google Scholar]
  • 12.Gaikwad S. S., Suryawanshi V. S., Lohar K. S., Jadhav D. V., Shinde N. D. Synthesis and biological activity of some 3,4-dihydro-4-(4-substituted aryl)-6-(naptho[2,1-b]furan-2-yl pyrimidine-2(1H)-one derivatives. E-Journal of Chemistry. 2012;9(1):175–180. doi: 10.1155/2012/258672. [DOI] [Google Scholar]
  • 13.Suwito H., Ni'matuzahroh, Kristanti A. N., et al. Antimicrobial activities and in silico analysis of methoxy amino chalcone derivatives. Procedia Chemistry. 2016;18:103–111. doi: 10.1016/j.proche.2016.01.017. [DOI] [Google Scholar]
  • 14.Solankee A., Patel K., Patel R. A facile synthesis and studies of some new chalcones and their derivatives based on heterocyclic ring. E-Journal of Chemistry. 2012;9(4):1897–1905. doi: 10.1155/2012/638452. [DOI] [Google Scholar]
  • 15.Liaras K., Geronikaki A., Glamočlija J., Ćirić A., Soković M. Thiazole-based chalcones as potent antimicrobial agents. Synthesis and biological evaluation. Bioorganic & Medicinal Chemistry. 2011;19(10):3135–3140. doi: 10.1016/j.bmc.2011.04.007. [DOI] [PubMed] [Google Scholar]
  • 16.Sudhir P., Rajashree C., Ashok B. Synthesis and biological evaluation of mannich bases of isoxazoline derivatives as novel anti-microbial agents. E-Journal of Chemistry. 2012;9(4):1760–1772. doi: 10.1155/2012/386428. [DOI] [Google Scholar]
  • 17.Sharma V., Singh G., Kaur H., Saxena A. K., Ishar M. P. S. Synthesis of β-ionone derived chalcones as potent antimicrobial agents. Bioorganic & Medicinal Chemistry Letters. 2012;22(20):6343–6346. doi: 10.1016/j.bmcl.2012.08.084. [DOI] [PubMed] [Google Scholar]
  • 18.Ahmad A., Husain A., Khan S. A., Mujeeb M., Bhandari A. Synthesis, antimicrobial and antitubercular activities of some novel pyrazoline derivatives. Journal of Saudi Chemical Society. 2016;20(5):577–584. doi: 10.1016/j.jscs.2014.12.004. [DOI] [Google Scholar]
  • 19.Ahmad I., Thakur J. P., Chanda D., et al. Syntheses of lipophilic chalcones and their conformationally restricted analogues as antitubercular agents. Bioorganic & Medicinal Chemistry Letters. 2013;23(5):1322–1325. doi: 10.1016/j.bmcl.2012.12.096. [DOI] [PubMed] [Google Scholar]
  • 20.Coskun D., Erkisa M., Ulukaya E., Coskun M. F., Ari F. Novel 1-(7-ethoxy-1-benzofuran-2-yl) substituted chalcone derivatives: synthesis, characterization and anticancer activity. European Journal of Medicinal Chemistry. 2017;136:212–222. doi: 10.1016/j.ejmech.2017.05.017. [DOI] [PubMed] [Google Scholar]
  • 21.Zhang J., Fu X.-L., Yang N., Wang Q.-A. Synthesis and cytotoxicity of chalcones and 5-deoxyflavonoids. The Scientific World Journal. 2013;2013:6. doi: 10.1155/2013/649485.649485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Zhang J., Yang F., Qiao Z., Zhu M., Zhou H. Chalcone–benzoxaborole hybrids as novel anticancer agents. Bioorganic & Medicinal Chemistry Letters. 2016;26(23):5797–5801. doi: 10.1016/j.bmcl.2016.10.024. [DOI] [PubMed] [Google Scholar]
  • 23.Coşkun D., Tekin S., Sandal S., Coşkun M. F. Synthesis, characterization, and anticancer activity of new benzofuran substituted chalcones. Journal of Chemistry. 2016;2016:8. doi: 10.1155/2016/7678486.7678486 [DOI] [Google Scholar]
  • 24.Sridevi C., Balaji K., Naidu A. Synthesis and pharmacological evaluation of some phenylpyrazolo indoquinoxaline derivatives. E-Journal of Chemistry. 2011;8(2):924–930. doi: 10.1155/2011/584817. [DOI] [Google Scholar]
  • 25.Venkatachalam H., Nayak Y., Jayashree B. S. Synthesis, characterization and antioxidant activities of synthetic chalcones and flavones. APCBEE Procedia. 2012;3:209–213. doi: 10.1016/j.apcbee.2012.06.071. [DOI] [Google Scholar]
  • 26.Hayat F., Moseley E., Salahuddin A., van Zyl R. L., Azam A. Antiprotozoal activity of chloroquinoline based chalcones. European Journal of Medicinal Chemistry. 2011;46(5):1897–1905. doi: 10.1016/j.ejmech.2011.02.004. [DOI] [PubMed] [Google Scholar]
  • 27.Lakshmi K., Rao N. R., Basaveswararao M. V. Synthesis, antimicrobial and anthelmintic evaluation of novel quinazolinonyl chalcones. Rasayan Journal of Chemistry. 2014;7(1):44–54. [Google Scholar]
  • 28.Pingaew R., Saekee A., Mandi P., et al. Synthesis, biological evaluation and molecular docking of novel chalcone-coumarin hybrids as anticancer and antimalarial agents. European Journal of Medicinal Chemistry. 2014;85:65–76. doi: 10.1016/j.ejmech.2014.07.087. [DOI] [PubMed] [Google Scholar]
  • 29.Choudhary A. N., Kumar A., Juyal V. Design, synthesis and evaluation of chalcone derivatives as anti-inflammatory, antioxidant and antiulcer agents. Letters in Drug Design and Discovery. 2012;9(5):479–488. doi: 10.2174/157018012800389368. [DOI] [Google Scholar]
  • 30.Sridhar S., Dinda S. C., Prasad Y. R. Synthesis and biological evaluation of some new chalcones containing 2,5-dimethylfuran moiety. E-Journal of Chemistry. 2011;8(2):541–546. doi: 10.1155/2011/582603. [DOI] [Google Scholar]
  • 31.Sridhar S., Rajendraprasad Y. Synthesis and analgesic studies of some new 2-pyrazolines. E-Journal of Chemistry. 2012;9(4):1810–1815. doi: 10.1155/2012/476989. [DOI] [Google Scholar]
  • 32.Rani P., Srivastava V. K., Kumar A. Synthesis and antiinflammatory activity of heterocyclic indole derivatives. European Journal of Medicinal Chemistry. 2004;39(5):449–452. doi: 10.1016/j.ejmech.2003.11.002. [DOI] [PubMed] [Google Scholar]
  • 33.Das M., Manna K. Chalcone scaffold in anticancer armamentarium: a molecular insight. Journal of Toxicology. 2016;2016:14. doi: 10.1155/2016/7651047.7651047 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Nowakowska Z. A review of anti-infective and anti-inflammatory chalcones. European Journal of Medicinal Chemistry. 2007;42(2):125–137. doi: 10.1016/j.ejmech.2006.09.019. [DOI] [PubMed] [Google Scholar]
  • 35.Suwito H., Ni'matuzahroh, Kristanti A. N., et al. Antimicrobial activities and in silico analysis of methoxy amino chalcone derivatives. Procedia Chemistry. 2016;18:103–111. [Google Scholar]
  • 36.Vanangamudi G., Subramanian M., Thirunarayanan G. Synthesis, spectral linearity, antimicrobial, antioxidant and insect antifeedant activities of some 2,5-dimethyl-3-thienyl chalcones. Arabian Journal of Chemistry. 2017;10(supplement 1):S1254–S1266. doi: 10.1016/j.arabjc.2013.03.006. [DOI] [Google Scholar]
  • 37.Shaik A. B., Prasad Y. R., Shahanaaz S. Design, facile synthesis, characterization and computational evaluation of novel isobutylchalcones as cytotoxic agents: part-A. Fabad Journal of Pharmaceutical Sciences. 2015;40(1):1–16. [Google Scholar]
  • 38.Srinath N., Prasasd Y. R., Mukkanti K., Kistayya C., Rao B. B. Synthesis and anti-inflammatory activity of some new chalcones from 3'-methyl-4'-hydroxyacetophenone. Current Trends in Biotechnology and Pharmacy. 2011;5(1):1021–1028. [Google Scholar]
  • 39.Ravindar B., Srinivasa M. M., Shaik A. B. Design, facile synthesis, and biological evaluation of novel 1,3-thiazine derivatives as potential anticonvulsant agents. Asian Journal of Pharmaceutical and Clinical Research. 2016;9(5):272–276. doi: 10.22159/ajpcr.2016.v9i5.13676. [DOI] [Google Scholar]
  • 40.Andrews J. M. Determination of minimum inhibitory concentrations. Journal of Antimicrobial Chemotherapy. 2001;48(1):5–16. doi: 10.1093/jac/48.suppl_1.5. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials

Table 3: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 4: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 5: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 6: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antibacterial activity). Table 7: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antifungal activity). Table 8: experimental and predicted MIC (μg/mL) values of training set and test set molecules based on atom based 3D-QSAR model (antifungal activity).

Click here for additional data file. (381.9KB, pdf)

Articles from International Journal of Medicinal Chemistry are provided here courtesy of Wiley

RESOURCES