Advances in the computational development of androgen receptor antagonists.


Journal

Drug discovery today
ISSN: 1878-5832
Titre abrégé: Drug Discov Today
Pays: England
ID NLM: 9604391

Informations de publication

Date de publication:
08 2020
Historique:
received: 08 01 2020
revised: 16 03 2020
accepted: 04 04 2020
pubmed: 23 5 2020
medline: 10 9 2021
entrez: 23 5 2020
Statut: ppublish

Résumé

The androgen receptor is a ligand-dependent transcriptional factor and an essential therapeutic target for prostate cancer. Competitive binding of antagonists to the androgen receptor can alleviate aberrant activation of the androgen receptor in prostate cancer. In recent years, computer-aided drug design has played an essential part in the discovery of novel androgen receptor antagonists. This review summarizes the recent advances in the discovery of novel androgen receptor antagonists through computer-aided drug design approaches; and discusses the applications of molecular modeling techniques to understand the resistance mechanisms of androgen receptor antagonists at the molecular level.

Identifiants

pubmed: 32439609
pii: S1359-6446(20)30151-3
doi: 10.1016/j.drudis.2020.04.004
pii:
doi:

Substances chimiques

Androgen Receptor Antagonists 0
Androgens 0
Receptors, Androgen 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1453-1461

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Xueping Hu (X)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Xin Chai (X)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Xuwen Wang (X)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Mojie Duan (M)

Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.

Jinping Pang (J)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Weitao Fu (W)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China.

Dan Li (D)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China. Electronic address: lidancps@zju.edu.cn.

Tingjun Hou (T)

Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang 310058, China. Electronic address: tingjunhou@zju.edu.cn.

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Classifications MeSH