Please use this identifier to cite or link to this item: https://doi.org/10.1021/acs.jpclett.6b01525
Title: Benzene Probes in Molecular Dynamics Simulations Reveal Novel Binding Sites for Ligand Design
Authors: Tan, Y.S
Reeks, J
Brown, C.J
Thean, D
Ferrer Gago, F.J
Yuen, T.Y
Goh, E.T.L
Lee, X.E.C
Jennings, C.E
Joseph, T.L
Lakshminarayanan, R 
Lane, D.P 
Noble, M.E.M
Verma, C.S 
Keywords: Benzene
Bins
Computational chemistry
Crystallography
Ligands
Molecular dynamics
Molecules
Probes
X ray crystallography
Detection methods
Molecular dynamics simulations
Predictive power
Protein flexibility
Site identification
Small molecules
Structural data
Structure based drug designs
Binding sites
benzene
ligand
protein binding
binding site
chemistry
molecular dynamics
molecular model
Benzene
Binding Sites
Ligands
Models, Molecular
Molecular Dynamics Simulation
Protein Binding
Issue Date: 2016
Publisher: American Chemical Society
Citation: Tan, Y.S, Reeks, J, Brown, C.J, Thean, D, Ferrer Gago, F.J, Yuen, T.Y, Goh, E.T.L, Lee, X.E.C, Jennings, C.E, Joseph, T.L, Lakshminarayanan, R, Lane, D.P, Noble, M.E.M, Verma, C.S (2016). Benzene Probes in Molecular Dynamics Simulations Reveal Novel Binding Sites for Ligand Design. Journal of Physical Chemistry Letters 7 (17) : 3452-3457. ScholarBank@NUS Repository. https://doi.org/10.1021/acs.jpclett.6b01525
Rights: Attribution 4.0 International
Abstract: 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. © 2016 American Chemical Society.
Source Title: Journal of Physical Chemistry Letters
URI: https://scholarbank.nus.edu.sg/handle/10635/183866
ISSN: 1948-7185
DOI: 10.1021/acs.jpclett.6b01525
Rights: Attribution 4.0 International
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