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ER/AR Multi-Conformational Docking Server: A Tool for Discovering and Studying Estrogen and Androgen Receptor Modulators.
Wang, Feng; Hu, Shuai; Ma, De-Qing; Li, Qiuye; Li, Hong-Cheng; Liang, Jia-Yi; Chang, Shan; Kong, Ren.
Affiliation
  • Wang F; Changzhou University Huaide College, Taizhou, China.
  • Hu S; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
  • Ma DQ; Changzhou University Huaide College, Taizhou, China.
  • Li Q; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
  • Li HC; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
  • Liang JY; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
  • Chang S; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
  • Kong R; Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, School of Chemical and Environmental Engineering, Jiangsu University of Technology, Changzhou, China.
Front Pharmacol ; 13: 800885, 2022.
Article in En | MEDLINE | ID: mdl-35140614
ABSTRACT
The prediction of the estrogen receptor (ER) and androgen receptor (AR) activity of a compound is quite important to avoid the environmental exposures of endocrine-disrupting chemicals. The Estrogen and Androgen Receptor Database (EARDB, http//eardb.schanglab.org.cn/) provides a unique collection of reported ERα, ERß, or AR protein structures and known small molecule modulators. With the user-uploaded query molecules, molecular docking based on multi-conformations of a single target will be performed. Moreover, the 2D similarity search against known modulators is also provided. Molecules predicted with a low binding energy or high similarity to known ERα, ERß, or AR modulators may be potential endocrine-disrupting chemicals or new modulators. The server provides a tool to predict the endocrine activity for compounds of interests, benefiting for the ER and AR drug design and endocrine-disrupting chemical identification.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Pharmacol Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Pharmacol Year: 2022 Document type: Article Affiliation country: China