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
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
1453-1461Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.