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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66833

comparative study of molecular docking with bioactive phytochemicals from volkameria inermis and butea monosperma against bacterial DNA Gyrase B

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66833

Volume:

10 |

8 |

Aug 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66833

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

D.P

Dr .KPS Pavithra

Department of Pharmacology

Sri Vijay Vidyalaya College of Pharmacy, Dharmapuri, Tamil Nadu, India

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SJ

S. JANANI

Department of Pharmacology

Sri Vijay Vidyalaya College of Pharmacy, Dharmapuri, Tamil Nadu, India

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RJH

R. JEEVAN HARI

Department of Pharmacology

Sri Vijay Vidyalaya College of Pharmacy, Dharmapuri, Tamil Nadu, India

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PVJS

P. V. JOSHINI SHOWBIKA

Department of Pharmacology

Sri Vijay Vidyalaya College of Pharmacy, Dharmapuri, Tamil Nadu, India

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Abstract

Antimicrobial resistance has increased the need for antibacterial candidates with novel molecular targets. The present in silico study comparatively evaluated selected phytoconstituents reported from Volkameria inermis and Butea monosperma against bacterial DNA Gyrase B (GyrB), an essential enzyme involved in bacterial DNA topology. Three compounds from each plant were selected from the GC–MS-derived constituent list and screened by molecular docking using AutoDock Vina against the Staphylococcus aureus GyrB structure PDB ID 3TTZ (1.63 Å). Dodecane, 2,3-anhydro-D-mannosan and heptadecanoic acid from V. inermis showed docking scores of −7.2, −7.4 and −8.5 kcal/mol, respectively. The B. monosperma compounds 4morpholinecarbonitrile, triamcinolone acetonide and 2-acetyl-5-methylfuran showed −4.7, −5.9 and −4.4 kcal/mol, respectively. Heptadecanoic acid showed the most favourable predicted binding among the six compounds. Interaction analysis indicated hydrogen-bond/polar and hydrophobic contacts for the V. inermis compounds, whereas the B. monosperma compounds mainly showed van der Waals and conventional hydrogen-bond interactions. The findings prioritize V. inermisderived compounds, particularly heptadecanoic acid and 2,3-anhydro-D-mannosan, for further experimental validation. However, the docking and toxicity findings are computational predictions and require laboratory confirmation.

KEYWORDS

Volkameria inermis; Butea monosperma; DNA Gyrase B; molecular docking; AutoDock Vina; phytochemicals; antibacterial drug discovery; antimicrobial resistance.

Cite This Article

Dr .KPS Pavithra, S. JANANI, R. JEEVAN HARI, P. V. JOSHINI SHOWBIKA, "comparative study of molecular docking with bioactive phytochemicals from volkameria inermis and butea monosperma against bacterial DNA Gyrase B," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-4, Aug 2026. https://doi.org/10.55041/IJSREM66833

Full Article/Conclusion

Comparative molecular docking identified V. inermis as the stronger-performing plant in the present six-compound screening study. Heptadecanoic acid (−8.5 kcal/mol) and 2,3-anhydro-D-mannosan (−7.4 kcal/mol) were the leading predicted binders against S. aureus DNA Gyrase B (PDB 3TTZ). These compounds may be considered preliminary lead candidates for further antibacterial investigation. Nevertheless, the findings remain computational and require experimental validation before any therapeutic conclusions are made.  

References

1.   Jorgensen WL. The many roles of computation in drug discovery. Science. 2004;303(5665):1813–1818. 2.   Kitchen DB, Decornez H, Furr JR, Bajorath J. Docking and scoring in virtual screening for drug discovery: methods and applications. Nat Rev Drug Discov. 2004;3(11):935–949. 3.   Gohlke H, Klebe G. Approaches to the description and prediction of the binding affinity of small-molecule ligands to macromolecular receptors. Angew Chem Int Ed Engl. 2002;41(15):2644–2676. 4.   Kuntz ID, Blaney JM, Oatley SJ, Langridge R, Ferrin TE. A geometric approach to macromolecule-ligand interactions. J Mol Biol. 1982;161(2):269–288. 5.   Halperin I, Ma B, Wolfson H, Nussinov R. Principles of docking: an overview of search algorithms and a guide to scoring functions. Proteins. 2002;47(4):409–443. 6.   Morris GM, Goodsell DS, Halliday RS, Huey R, Hart WE, Belew RK, Olson AJ. Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function. J Comput Chem. 1998;19(14):1639–1662. 7.   Rarey M, Kramer B, Lengauer T, Klebe G. A fast flexible docking method using an incremental construction algorithm. J Mol Biol. 1996;261(3):470–489. 8.   Cross JB, Thompson DC, Rai BK, Baber JC, Fan KY, Hu Y, Humblet C. Comparison of several molecular docking programs: pose prediction and virtual screening accuracy. J Chem Inf Model. 2009;49(6):1455–1474. 9.   Wigley DB, Davies GJ, Dodson EJ, Maxwell A, Dodson G. Crystal structure of an N-terminal fragment of the DNA gyrase B protein. Nature. 1991;351:624–629. 10.                    Morais Cabral JH, Jackson AP, Smith CV, Shikotra N, Maxwell A, Liddington RC. Crystal structure of the breakagereunion domain of DNA gyrase. Nature. 1997;388(6645):903–906.

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Publication Date

8/18/2026

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