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Article Publish Status: FREE
Abstract Title:

Computational data of phytoconstituents fromon various anti-obesity targets.

Abstract Source:

Data Brief. 2019 Jun ;24:103994. Epub 2019 May 16. PMID: 31193691

Abstract Author(s):

Sejal P Gandhi, Kiran B Lokhande, Venkateswara K Swamy, Rabindra K Nanda, Sohan S Chitlange

Article Affiliation:

Sejal P Gandhi

Abstract:

Molecular docking analysis of twenty two phytoconstituents from, against seven targets of obesity like pancreatic lipase, fat and obesity protein (FTO protein), cannabinoid receptor, hormones as ghrelin, leptin and protein as SCH1 and MCH1 is detailed in this data article. Chemical structures of phytoconstituents were downloaded from PubChem and protein structures were retrieved from RCSB protein databank. Docking was performed using FlexX software Lead IT version 2.3.2; Bio Solved IT. Visualization and analysis was done by Schrodinger maestro software. The docking score and interactions with important amino acids were analyzed and compared with marketed drug, orlistat. The findings suggest exploitation of best ligands experimentally to develop novel anti-obesity agent.

Study Type : In Vitro Study

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Sayer Ji
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