Back to Search Start Over

Computational Analysis of Residue-Specific Binding Free Energies of Androgen Receptor to Ligands

Authors :
Guangfeng Shao
Jingxiao Bao
Xiaolin Pan
Xiao He
Yifei Qi
John Z. H. Zhang
Source :
Frontiers in Molecular Biosciences, Vol 8 (2021), Frontiers in Molecular Biosciences
Publication Year :
2021
Publisher :
Frontiers Media SA, 2021.

Abstract

Androgen receptor (AR) is an important therapeutic target for the treatment of diseases such as prostate cancer, hypogonadism, muscle wasting, etc. In this study, the complex structures of the AR ligand-binding domain (LBD) with fifteen ligands were analyzed by molecular dynamics simulations combined with the alanine-scanning-interaction-entropy method (ASIE). The quantitative free energy contributions of the pocket residues were obtained and hotspot residues are quantitatively identified. Our calculation shows that that these hotspot residues are predominantly hydrophobic and their interactions with binding ligands are mainly van der Waals interactions. The total binding free energies obtained by summing over binding contributions by individual residues are in good correlation with the experimental binding data. The current quantitative analysis of binding mechanism of AR to ligands provides important insight on the design of future inhibitors.

Details

Language :
English
ISSN :
2296889X
Volume :
8
Database :
OpenAIRE
Journal :
Frontiers in Molecular Biosciences
Accession number :
edsair.doi.dedup.....432492cd51ced961a0ce06e6db8cbe86
Full Text :
https://doi.org/10.3389/fmolb.2021.646524