QSAR modelling of a novel series of methoxylated chalcones as antioxidant agents against Gram-positive bacteria Staphylococcus aureus

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume :03 | Issue : 01 | Page : –
    By

    Shashikant Verma,

  • Neerja Shukla,

  1. Research Scholar, Department of Chemistry, Nari Shiksha Niketan P.G. College, Mona Chandrawati Gupta Marg, Kaiserbagh, Lucknow, Uttar Pradesh, India
  2. Assistant Professor, Department of Chemistry, Nari Shiksha Niketan P.G. College, Mona Chandrawati Gupta Marg, Kaiserbagh, Lucknow, Uttar Pradesh, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_154311’);});Edit Abstract & Keyword

Background:  Chalcones are aromatic ketones belonging to the flavonoid family. They are plant based compounds and are widely found in nature. From centuries, these bioactive molecules are being utilized in various traditional medicines for treatment of a number of ailments. Chalcones have antibacterial, antiviral, antimalarial, antifungal, antioxidant and antileishmanial properties. They are also used to treat inflammation and cancer. Chalcones act as angiogenesis inhibitor, an important factor in cancer progression and metastasis. Method: QSAR analysis is done on a series of seventeen chalcones derivatives (1-16) using various physicochemical parameters. The study reveals that parameters such as connectivity indices (χ5, χ6), ADME descriptors, molecular weight (MW), molar refractivity (MR), density (D), and LogP showed significant correlations with biological activity. The best results are obtained by performing multiple regression analysis with different models with strong R-squared values indicating robust predictive performance. Result:Combination of various descriptors such as MR, MW, Pz, D, ADMET (LogS), and connectivity Indices (χ1-χ6) have been found to be best for the significant modeling of the anti- bacterial activity. QSAR model pIC50= 3.374+ (-0.4484) χ5+ (0.5824) χ + (-0.2395) ADMET (LogS) optimized with empirical parameters with good statistical quality (R=0.66, R2=0.44) was found to be the best model.Conclusion: The ADME solubility level reflects a molecule’s aqueous solubility, which can be predicted using molecular descriptors like the number of hydrogen bond donors and acceptors, dipole moment, rotatable bond count, and surface area. These factors are crucial in determining the solubility of the various organic compounds.  Increased solubility has been shown to improve the antimicrobacterial activity. Positive sign of the connectivity indices implies that better designed drug can be obtained if there is increase in the branching.

Keywords: QSAR modelling, methoxylated chalcones, Staphylococcus aureus, Gram-positive bacteria, ADME

[This article belongs to International Journal of Biochemistry and Biomolecule Research (ijbbr)]

How to cite this article:
Shashikant Verma, Neerja Shukla. QSAR modelling of a novel series of methoxylated chalcones as antioxidant agents against Gram-positive bacteria Staphylococcus aureus. International Journal of Biochemistry and Biomolecule Research. 2025; 03(01):-.
How to cite this URL:
Shashikant Verma, Neerja Shukla. QSAR modelling of a novel series of methoxylated chalcones as antioxidant agents against Gram-positive bacteria Staphylococcus aureus. International Journal of Biochemistry and Biomolecule Research. 2025; 03(01):-. Available from: https://journals.stmjournals.com/ijbbr/article=2025/view=0

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_154311’);});Edit

References

1. Chopra I, Schofield C, Everett M, O’Neill A, Miller K, Wilcox M, Frère JM, Dawson M, Czaplewski L, Urleb U, Courvalin P. Treatment of health-care-associated infections caused by Gram-negative bacteria: a consensus statement. Lancet Infect Dis. 2008 Feb;8(2):133-9. doi: 10.1016/S1473-3099(08)70018-
2. Avila HP, Smânia Ede F, Monache FD, Smânia A Jr. Structure-activity relationship of antibacterial chalcones. Bioorg Med Chem. 2008 Nov 15;16(22):9790-4. doi: 10.1016/j.bmc.2008.09.064.
3. Cheng JH, Hung CF, Yang SC, Wang JP, Won SJ, Lin CN. Synthesis and cytotoxic, anti-inflammatory, and anti-oxidant activities of 2′,5′-dialkoxylchalcones as cancer chemopreventive agents. Bioorg Med Chem. 2008 Aug 1;16(15):7270-6. doi: 10.1016/j.bmc.2008.06.031.
4. Katsori AM, Hadjipavlou-Litina D. Chalcones in cancer: understanding their role in terms of QSAR. Curr Med Chem. 2009;16(9):1062-81. doi: 10.2174/092986709787581798.
5. Murakami S, Kijima H, Isobe Y, Muramatsu M, Aihara H, Otomo S, Baba K, Kozawa M. Inhibition of gastric H+, K(+)-ATPase by chalcone derivatives, xanthoangelol and 4-hydroxyderricin, from Angelica keiskei Koidzumi. J Pharm Pharmacol. 1990 Oct;42(10):723-6. doi: 10.1111/j.2042-7158.1990.tb06568.x.
6. Viana GS, Bandeira MA, Matos FJ. Analgesic and antiinflammatory effects of chalcones isolated from Myracrodruon urundeuva allemão. Phytomedicine. 2003 Mar;10(2-3):189-95. doi: 10.1078/094471103321659924
7. Wu JH, Wang XH, Yi YH, Lee KH. Anti-AIDS agents 54. A potent anti-HIV chalcone and flavonoids from genus Desmos. Bioorg Med Chem Lett. 2003 May 19;13(10):1813-5. doi: 10.1016/s0960-894x(03)00197-5
8. Liu M, Wilairat P, Go ML. Antimalarial alkoxylated and hydroxylated chalcones structure-activity relationship analysis. J Med Chem. 2001 Dec 6;44(25):4443-52. doi: 10.1021/jm0101747. Erratum in: J Med Chem 2002 Apr 11;45(8):1734.
9. Sivakumar PM, Seenivasan SP, Kumar V, Doble M. Synthesis, antimycobacterial activity evaluation, and QSAR studies of chalcone derivatives. Bioorg Med Chem Lett. 2007 Mar 15;17(6):1695-700. doi: 10.1016/j.bmcl.2006.12.112.
10. Sivakumar PM, Seenivasan SP, Kumar V, Doble M. Synthesis, antimycobacterial activity evaluation, and QSAR studies of chalcone derivatives. Bioorg Med Chem Lett. 2007 Mar 15;17(6):1695-700. doi: 10.1016/j.bmcl.2006.12.112.
11. Chen ZH, Zheng CJ, Sun LP, Piao HR. Synthesis of new chalcone derivatives containing a rhodanine-3-acetic acid moiety with potential anti-bacterial activity. Eur J Med Chem. 2010 Dec;45(12):5739-43. doi: 10.1016/j.ejmech.2010.09.031
12. Bandgar BP, Gawande SS, Bodade RG, Totre JV, Khobragade CN. Synthesis and biological evaluation of simple methoxylated chalcones as anticancer, anti-inflammatory and antioxidant agents. Bioorg Med Chem. 2010 Feb;18(3):1364-70. doi: 10.1016/j.bmc.2009.11.066.
13. Ballell L, Field RA, Duncan K, Young RJ. New small-molecule synthetic antimycobacterials. Antimicrob Agents Chemother. 2005 Jun;49(6):2153-63. doi: 10.1128/AAC.49.6.2153-2163.2005. Erratum in: Antimicrob Agents Chemother. 2007 May;51(5):1888.
14. Tantapakul C, Promgool T, Kanokmedhakul K, Soytong K, Song J, Hadsadee S, Jungsuttiwong S, Kanokmedhakul S. Bioactive xanthoquinodins and epipolythiodioxopiperazines from Chaetomium globosum 7s-1, an endophytic fungus isolated from Rhapis cochinchinensis (Lour.) Mart. Natural product research. 2020 Feb 16;34(4):494-502.
15. (15) Herencia, F.; Ferrándiz, M. L.; Ubeda, A.; Domínguez, J. N.; Charris, J. E.; Lobo, G. M.; Alcaraz, M. J. Synthesis and anti-inflammatory activity of chalcone derivatives. Bioorg Med Chem Lett 1998, 8 (10), 1169-1174. DOI: 10.1016/s0960-894x(98)00179-6 From NLM.
16. Scanga CA, Mohan VP, Tanaka K, Alland D, Flynn JL, Chan J. The inducible nitric oxide synthase locus confers protection against aerogenic challenge of both clinical and laboratory strains of Mycobacterium tuberculosis in mice. Infection and immunity. 2001 Dec 1;69(12):7711-7.
17. Kamble VM, Hatnapure GD, Keche AP, Birajdar S, Patil SG, Tale RH, Rodge AH, Turkar SS, Gour K. Sintesis and Biological Evaluation of a Novel Series of Methoxylated Chalcones as Antioxidant and Anti-microbial agents. J. Chem. Pharm. Res. 2011;3(6):639-48.
18. Shukla N, Srivastava AK. EXPLORING QSAR ANALYSIS OF CYCLOHEXANAMINE CLASS OF HUMAN SEROTONIN TRANSPORTERS (HSERT) INHIBITORY ACTIVITIES USING PHYSICOCHEMICAL PARAMETERS. Oxidation Communications. 2013 Jan 1;36(1):133-42.
19. Srivastava AK, Shukla N. QSAR based modeling on a series of lactam fused chroman derivatives as selective 5-HT transporters. Journal of Saudi Chemical Society. 2012 Oct 1;16(4):405-12.
20. Shukla N. QSAR studies on a series of 9-THC analogues as cannabinoid receptor modulators. International Journal of Student Research in Technology & Management. 2014;2:29-36.
21. Abdullahi M, Adeniji SE, Arthur DE, Musa S. Quantitative structure-activity relationship (QSAR) modelling study of some novel carboxamide series as new anti-tubercular agents. Bulletin of the National Research Centre. 2020 Aug 18;44(1):136.
22. Shukla N, Sharma B. Quantitative Structure-activity Relationship (QSAR) Modelling of Indomethacin Derivatives using Regression Analysis. Current Medicinal Chemistry. 2024 Dec;31(40):6722-32.
23. Srivastava AK, Srivastava A, Shukla N. QSAR STUDY ON TIE-2 INHIBITORS: DOMINATING ROLE OF TOPOLOGICAL PARAMETERS. Oxidation Communications. 2013 Jan 1;36(1):143-55.
24. Yadav AR, Mohite SK. ADME analysis of phytochemical constituents of Psidium guajava.
25. Srivastava AK, Shukla N. Quantitative structure activity relationship (QSAR) studies on a series of imidazole derivatives as novel ORL1 receptor antagonists. Journal of Saudi Chemical Society. 2013 Jul 1;17(3):321-8.
26. Sefiddashti FM, Asadpour S, Haddadi H, Nasab SG. QSAR analysis of pyrimidine derivatives as VEGFR-2 receptor inhibitors to inhibit cancer using multiple linear regression and artificial neural network. Research in Pharmaceutical Sciences. 2021 Dec 1;16(6):596-611.
27. Srivastava AK, Shukla N. QSAR-based Modelling on a Novel Series of Pyrimidine-4-carboxamides as Antagonists of the Human A1 Receptor. Oxidation Communications. 2012 Jan 1;35(2):423-37.
28. Shukla N, Srivastava AK. QSAR-BASED MODELLING ON A NOVEL SERIES OF 2-CHLOROBENZANIIDE DERIVATIVES AS POTENT P2X (7) RECEPTOR ANTAGONIST. Oxidation Communications. 2014 Jan 1;37(1):290-300.
29. Sahu R, Shukla N. In-silico analysis of different plant protein and their essential compound with sulfonylurea binding protein of β-cells of homo sapiens for curing diabetes mellitus type ii disease. European Chemical Bulletin. 2014;3(6):568-76.
30. Srivastava AK, Shukla N, Pandey A, Srivastava A. QSAR based modeling on a series of α-hydroxy amides as a novel class of bradykinin B1 selective antagonists. Journal of Saudi Chemical Society. 2011 Jul 1;15(3):215-20.
31. Chen XQ, Cho SJ, Li Y, Venkatesh S. Prediction of aqueous solubility of organic compounds using a quantitative structure–property relationship. Journal of pharmaceutical sciences. 2002 Aug 1;91(8):1838-52.
32. Tangallapally RP, Yendapally R, Lee RE, Hevener K, Jones VC, Lenaerts AJ, McNeil MR, Wang Y, Franzblau S, Lee RE. Synthesis and evaluation of nitrofuranylamides as novel antituberculosis agents. Journal of medicinal chemistry. 2004 Oct 7;47(21):5276-83.


Regular Issue Subscription Original Research
Volume 03
Issue 01
Received 03/12/2024
Accepted 23/01/2025
Published 03/02/2025