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Benzene Probes in Molecular Dynamics Simulations Reveal Novel Binding Sites for Ligand Design
Author(s) -
Yaw Sing Tan,
Judith Reeks,
Christopher J. Brown,
Dawn Thean,
Fernando Jose Ferrer Gago,
Tsz Ying Yuen,
Eunice Tze Leng Goh,
Xue Er Cheryl Lee,
Claire Jennings,
Thomas L. Joseph,
Rajamani Lakshminarayanan,
David P. Lane,
M.E.M. Noble,
Chandra Verma
Publication year - 2016
Publication title -
the journal of physical chemistry letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.6b01525
Subject(s) - molecular dynamics , ligand (biochemistry) , binding site , chemistry , small molecule , computational biology , molecule , identification (biology) , biophysics , computational chemistry , biology , biochemistry , receptor , botany , organic chemistry
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.

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