Loading…

Benzene Probes in Molecular Dynamics Simulations Reveal Novel Binding Sites for Ligand Design

Protein flexibility poses a major challenge in binding site identification. Several computational pocket detection methods that utilize small-molecule probes in molecular dynamics (MD) simulations have been developed to address this issue. Although they have proven hugely successful at reproducing e...

Full description

Saved in:
Bibliographic Details
Published in:The journal of physical chemistry letters 2016-09, Vol.7 (17), p.3452-3457
Main Authors: Tan, Yaw Sing, Reeks, Judith, Brown, Christopher J, Thean, Dawn, Ferrer Gago, Fernando Jose, Yuen, Tsz Ying, Goh, Eunice Tze Leng, Lee, Xue Er Cheryl, Jennings, Claire E, Joseph, Thomas L, Lakshminarayanan, Rajamani, Lane, David P, Noble, Martin E. M, Verma, Chandra S
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Protein flexibility poses a major challenge in binding site identification. Several computational pocket detection methods that utilize small-molecule probes in molecular dynamics (MD) simulations have been developed to address this issue. Although they have proven hugely successful at reproducing experimental structural data, their ability to predict new binding sites that are yet to be identified and characterized has not been demonstrated. Here, we report the use of benzenes as probe molecules in ligand-mapping MD (LMMD) simulations to predict the existence of two novel binding sites on the surface of the oncoprotein MDM2. One of them was serendipitously confirmed by biophysical assays and X-ray crystallography to be important for the binding of a new family of hydrocarbon stapled peptides that were specifically designed to target the other putative site. These results highlight the predictive power of LMMD and suggest that predictions derived from LMMD simulations can serve as a reliable basis for the identification of novel ligand binding sites in structure-based drug design.
ISSN:1948-7185
1948-7185
DOI:10.1021/acs.jpclett.6b01525