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 PMID:31193691  

Computational data of phytoconstituents from Hibiscus rosa-sinensis on various anti-obesity targets.

Sejal P Gandhi | Kiran B Lokhande | Venkateswara K Swamy | Rabindra K Nanda | Sohan S Chitlange
Data in brief | 2019

Molecular docking analysis of twenty two phytoconstituents from Hibiscus rosa-sinensis, 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.

Pubmed ID: 31193691

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PubChem (tool)

RRID:SCR_004284

Collection of information about chemical structures and biological properties of small molecules and siRNA reagents hosted by the National Center for Biotechnology Information (NCBI).

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I-TASSER (tool)

RRID:SCR_014627

Web server as integrated platform for automated protein structure and function prediction. Used for protein 3D structure prediction. Resource for automated protein structure prediction and structure-based function annotation.

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Avogadro (tool)

RRID:SCR_015983

Software for semantic chemical editing, visualization, and analysis. It is designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas.

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