Identification of novel PPARα/γ dual agonists by virtual screening, ADMET prediction and molecular dynamics simulations-Reference-Cited by-同舟云学术

Identification of novel PPARα/γ dual agonists by virtual screening, ADMET prediction and molecular dynamics simulations

Published:2017-10-05 Issue:11 Volume:36 Page:2988-3002
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Liu Xin¹,Jing Zhi¹,Jia Wen-Qing¹,Wang Shu-Qing¹,Ma Ying¹,Xu Wei-Ren²,Liu Jian-Wen³,Cheng Xian-Chao¹

Affiliation:

1. Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin 300070, China

2. Tianjin Key Laboratory of Molecular Design and Drug Discovery, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China

3. State Key Laboratory of Bioreactor Engineering & Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

China Postdoctoral Science Foundation funded project

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2017.1373706

Reference50 articles.

1. Molecular docking reveals the potential of phthalate esters to inhibit the enzymes of the glucocorticoid biosynthesis pathway