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Year : 2017  |  Volume : 13  |  Issue : 51  |  Page : 706-714

Docking-based screening of Ficus religiosa phytochemicals as inhibitors of human histamine H2 receptor

1 Department of Biotechnology, MNNIT, Allahabad, Uttar Pradesh, India
2 Center of Bioinformatics, University of Allahabad, Allahabad, Uttar Pradesh, India
3 Department of Applied Science, IIIT, Allahabad, Uttar Pradesh, India

Correspondence Address:
Ashutosh Mani
Department of Biotechnology, MNNIT, Allahabad, Uttar Pradesh
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/pm.pm_49_17

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Background: Ficus religiosa L. is generally known as Peepal and belongs to family Moraceae. The tree is a source of many compounds having high medicinal value. In gastrointestinal tract, histamine H2 receptors have key role in histamine-stimulated gastric acid secretion. Their over stimulation causes its excessive production which is responsible for gastric ulcer. Objective: This study aims to screen the range of phytochemicals present in F. religiosa for binding with human histamine H2 and identify therapeutics for a gastric ulcer from the plant. Materials and Methods: In this work, a 3D-structure of human histamine H2 receptor was modeled by using homology modeling and the predicted model was validated using PROCHECK. Docking studies were also performed to assess binding affinities between modeled receptor and 34 compounds. Molecular dynamics simulations were done to identify most stable receptor-ligand complexes. Absorption, distribution, metabolism, excretion, and screening was done to evaluate pharmacokinetic properties of compounds. Results: The results suggest that seven ligands, namely, germacrene, bergaptol, lanosterol, Ergost-5-en-3beta-ol, α -amyrin acetate, bergapten, and γ -cadinene showed better binding affinities. Conclusion: Among seven phytochemicals, lanosterol and α -amyrin acetate were found to have greater stability during simulation studies. These two compounds may be a suitable therapeutic agent against histamine H2 receptor. Abbreviations used: ADMET: Absorption, distribution, metabolism, excretion and toxicity, DOPE: Discrete Optimized Potential Energy, OPLS: Optimized potential for liquid simulations, RMSD: Root-mean-square deviation, HOA: Human oral absorption, MW: Molecular weight, SP: Standard-precision, XP: Extra-precision, GPCRs: G protein-coupled receptors, SASA: Solvent accessible surface area, Rg: Radius of gyration, NHB: Number of hydrogen bond

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