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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 |
Appears in Collections: | Staff Publications Elements |
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