Please use this identifier to cite or link to this item: https://doi.org/10.1021/acs.jpclett.6b01525
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dc.titleBenzene Probes in Molecular Dynamics Simulations Reveal Novel Binding Sites for Ligand Design
dc.contributor.authorTan, Y.S
dc.contributor.authorReeks, J
dc.contributor.authorBrown, C.J
dc.contributor.authorThean, D
dc.contributor.authorFerrer Gago, F.J
dc.contributor.authorYuen, T.Y
dc.contributor.authorGoh, E.T.L
dc.contributor.authorLee, X.E.C
dc.contributor.authorJennings, C.E
dc.contributor.authorJoseph, T.L
dc.contributor.authorLakshminarayanan, R
dc.contributor.authorLane, D.P
dc.contributor.authorNoble, M.E.M
dc.contributor.authorVerma, C.S
dc.date.accessioned2020-11-23T08:52:17Z
dc.date.available2020-11-23T08:52:17Z
dc.date.issued2016
dc.identifier.citationTan, 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
dc.identifier.issn1948-7185
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183866
dc.description.abstractProtein 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.
dc.publisherAmerican Chemical Society
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectBenzene
dc.subjectBins
dc.subjectComputational chemistry
dc.subjectCrystallography
dc.subjectLigands
dc.subjectMolecular dynamics
dc.subjectMolecules
dc.subjectProbes
dc.subjectX ray crystallography
dc.subjectDetection methods
dc.subjectMolecular dynamics simulations
dc.subjectPredictive power
dc.subjectProtein flexibility
dc.subjectSite identification
dc.subjectSmall molecules
dc.subjectStructural data
dc.subjectStructure based drug designs
dc.subjectBinding sites
dc.subjectbenzene
dc.subjectligand
dc.subjectprotein binding
dc.subjectbinding site
dc.subjectchemistry
dc.subjectmolecular dynamics
dc.subjectmolecular model
dc.subjectBenzene
dc.subjectBinding Sites
dc.subjectLigands
dc.subjectModels, Molecular
dc.subjectMolecular Dynamics Simulation
dc.subjectProtein Binding
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.contributor.departmentMEDICINE
dc.contributor.departmentBIOLOGY (NU)
dc.description.doi10.1021/acs.jpclett.6b01525
dc.description.sourcetitleJournal of Physical Chemistry Letters
dc.description.volume7
dc.description.issue17
dc.description.page3452-3457
dc.published.statepublished
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