Computational identification of potential chemoprophylactic agents according to dynamic behavior of peroxisome proliferator-activated receptor gamma-Reference-Cited by-同舟云学术

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

Published:2021 Issue:1 Volume:11 Page:147-159
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Yang Zhiwei¹²³⁴⁵^ORCID,Zhao Yizhen¹²³⁴⁵,Hao Dongxiao¹²³⁴⁵^ORCID,Wang He¹²³⁴⁵,Li Shengqing⁶⁷⁸⁹⁵,Jia Lintao¹⁰¹¹¹²¹³⁵,Yuan Xiaohui¹⁴¹⁵¹⁶⁵,Zhang Lei¹²³⁴⁵,Meng Lingjie¹¹⁷³⁴⁵^ORCID,Zhang Shengli¹²³⁴⁵

Affiliation:

1. MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter

2. School of Physics

3. Xi'an Jiaotong University

4. Xi'an 710049

5. China

6. Department of Pulmonary and Critical Care Medicine

7. Huashan Hospital

8. Fudan University

9. Shanghai 200041

10. State Key Laboratory of Cancer Biology

11. Department of Biochemistry and Molecular Biology

12. Air Force Medical University

13. Xi'an 710032

14. Institute of Biomedicine

15. Jinan University

16. Guangzhou 510632

17. School of Chemistry

Abstract

Offering a new strategy for resurrecting PPAR_γ-targeted therapeutics to chemoprevention, by taking the conformational plasticity of the receptor into account in the virtual screening procedure.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Shaanxi Province Postdoctoral Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/RA/D0RA09059J

Reference70 articles.