Literature DB >> 31099308

Bindings of PPARγ ligand-binding domain with 5-cholesten-3β, 25-diol, 3-sulfate: accurate prediction by molecular simulation.

Zhiwei Yang1,2, Yizhen Zhao1, Dongxiao Hao1, Shunlin Ren3, Xiaohui Yuan4, Lingjie Meng1, Shengli Zhang1.   

Abstract

Peroxisome proliferator-activated receptor gamma (PPARγ) has recently been identified as an attractive target for atherosclerosis intervention. Given potential relevance of 5-cholesten-3β, 25-diol, 3-sulphate (CHOS) and PPARγ, an integrated docking method was used to study their interaction mechanisms, with the full considerations to distinct CHOS conformations and dynamic ensembles of PPARγ ligand-binding domain (PPARγ-LBD). The results revealed that this novel platform is satisfactory to the accurate determination of binding profiles, and the binding pattern of CHOS is rather similar as those of current PPARγ full/partial agonists. CHOS contributes to the stabilization of the AF2 and β-sheet surfaces of PPARγ-LBD and promotes the configuration adjustment of Ω loop, in order to inhibit the Cdk5-mediated PPARγ phosphorylation. Nonetheless, there are clear differences in term of occupation of full or partial agonist-like binding models. The energetic and geometric analyses further revealed that CHOS may be fond of partial agonist-like binding, and its sulfonic group and carbon skeleton are helpful for the binding process. We hope that the results will aid our understanding of recognitions involving CHOS with PPARγ-LBD and warrant the further aspects to pharmacological experiments.Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  PPARγ; Sulfonated oxysterol; atherosclerosis; mechanism of action; receptor pharmacology

Mesh:

Substances:

Year:  2019        PMID: 31099308     DOI: 10.1080/07391102.2019.1620129

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

1.  Facilely prepared aggregation-induced emission (AIE) nanocrystals with deep-red emission for super-resolution imaging.

Authors:  Ruohan Xu; Dongfeng Dang; Zhi Wang; Yu Zhou; Yanzi Xu; Yizhen Zhao; Xiaochi Wang; Zhiwei Yang; Lingjie Meng
Journal:  Chem Sci       Date:  2021-12-13       Impact factor: 9.825

2.  Computational identification of potential chemoprophylactic agents according to dynamic behavior of peroxisome proliferator-activated receptor gamma.

Authors:  Zhiwei Yang; Yizhen Zhao; Dongxiao Hao; He Wang; Shengqing Li; Lintao Jia; Xiaohui Yuan; Lei Zhang; Lingjie Meng; Shengli Zhang
Journal:  RSC Adv       Date:  2020-12-22       Impact factor: 3.361

  2 in total

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