TY - JOUR
T1 - A combined quantitative structure-Activity relationship research of quinolinone derivatives as androgen receptor antagonists
AU - Wang, Yuwei
AU - Bai, Fang
AU - Cao, Hong
AU - Li, Jiazhong
AU - Liu, Huanxiang
AU - Gramatica, Paola
N1 - Publisher Copyright:
© 2015 Bentham Science Publishers.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - Antiandrogens bicalutamide, flutamide and enzalutamide etc. have been used in clinical trials to treat prostate cancer by binding to and antagonizing androgen receptor (AR). Although initially effective, the drug resistance problem will emerge eventually, which results in a high medical need for novel AR antagonist exploitation. Here in this work, to facilitate the rational design of novel AR antagonists, we studied the structure-Activity relationships of a series of 2-quinolinone derivatives and investigated the structural requirements for their antiandrogenic activities. Different modeling methods, including 2D MLR, 3D CoMFA and CoMSIA, were implemented to evolve QSAR models. All these models, thoroughly validated, demonstrated satisfactory results especially for the good predictive abilities. The contour maps from 3D CoMFA and CoMSIA models provide visualized explanation of key structural characteristics relevant to the antiandrogenic activities, which is summarized to a position-specific conclusion at the end. The obtained results from this research are practically useful for rational design and screening of promising chemicals with high antiandrogenic activities.
AB - Antiandrogens bicalutamide, flutamide and enzalutamide etc. have been used in clinical trials to treat prostate cancer by binding to and antagonizing androgen receptor (AR). Although initially effective, the drug resistance problem will emerge eventually, which results in a high medical need for novel AR antagonist exploitation. Here in this work, to facilitate the rational design of novel AR antagonists, we studied the structure-Activity relationships of a series of 2-quinolinone derivatives and investigated the structural requirements for their antiandrogenic activities. Different modeling methods, including 2D MLR, 3D CoMFA and CoMSIA, were implemented to evolve QSAR models. All these models, thoroughly validated, demonstrated satisfactory results especially for the good predictive abilities. The contour maps from 3D CoMFA and CoMSIA models provide visualized explanation of key structural characteristics relevant to the antiandrogenic activities, which is summarized to a position-specific conclusion at the end. The obtained results from this research are practically useful for rational design and screening of promising chemicals with high antiandrogenic activities.
KW - Androgen receptor (AR)
KW - Comparative molecular field analysis (CoMFA)
KW - Comparative molecular similarity indices analysis (CoMSIA)
KW - Multiple linear regression (MLR)
KW - Prostate cancer (PCa)
UR - http://www.scopus.com/inward/record.url?scp=84946546151&partnerID=8YFLogxK
U2 - 10.2174/1386207318666150831125750
DO - 10.2174/1386207318666150831125750
M3 - Article
C2 - 26320943
AN - SCOPUS:84946546151
SN - 1386-2073
VL - 18
SP - 834
EP - 845
JO - Combinatorial Chemistry and High Throughput Screening
JF - Combinatorial Chemistry and High Throughput Screening
IS - 9
ER -