4.6 Article

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

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2021.646524

Keywords

androgen receptor; alanine scanning; interaction entropy; MD simulation; hotspot; GBSA

Funding

  1. National Key R&D Program of China [2016YFA0501700, 2019YFA0905201]
  2. National Natural Science Foundation of China [21922301, 21761132022, 21673074, 91753103, 21933010]
  3. Natural Science Foundation of Shanghai Municipality [18ZR1412600]

Ask authors/readers for more resources

The study analyzed the complex structures of AR ligand-binding domain with fifteen ligands using molecular dynamics simulations and ASIE method, quantitatively identifying hotspot residues which are predominantly hydrophobic. The calculation showed good correlation between total binding free energies obtained and experimental data, providing important insight for the design of future inhibitors.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available