Cited by 4Computational Drug Discovery MethodsProtein Structure and DynamicsReceptor Mechanisms and Signaling

Accelerated Structural Prediction of Flexible Protein–Ligand Complexes: The SLICE Method

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McFarlane, James M. B., Krause, Katherine D., Paci, Irina·2019·Journal of Chemical Information and Modeling

Published version of a preprint

Abstract

The work in this submission presents a molecular simulation technique that is able to overcome induced-fit binding issues with a uniquely challenging binding site. This method differs from commercially available methods in that we use a combined software approach that allows users to patch together inexpensive and academically available programs. Our method also differs fundamentally in how the potential energy of the interaction is explored and lends itself to the success in modeling our test system. As an added benefit, our test system is CBX8, an epigenetic reader protein and speculative target for chemotherapy. The method was not only successful in matching crystal structure data, but uncovered a number of induced-fit structural features of the binding motif that are useful in the design of potential inhibitors for this protein.

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Crossref · 10.1021/acs.jcim.9b00688

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Authors
McFarlane, J. M. B., Krause, K. D., & Paci, I.
Affiliations
University of Victoria (CA)
Corresponding author
  • McFarlane, James M. B.
  • Paci, Irina
Venue
Journal of Chemical Information and Modeling
Published
2019-11-06
Volume
59
Issue
12
Pages
5263-5275
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W2983987605
Cited by
4
References
2
Citations by year
2021: 1 · 2020: 2 · 2019: 1
FWCI
0.85
Type
journal article
Language
en
Open access
Locations
  • Journal of Chemical Information and Modeling (publishedVersion)
  • ChemRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by-nc-nd)
Funders
  • University of Victoria
  • Natural Sciences and Engineering Research Council of Canada (RGPIN-2016-04529)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
Keywords
slice method, induced fit, protein-ligand binding, accelerated molecular dynamics, AutoDock Vina, CBX8, H3K9me3, protein conformational ensembles
MeSH terms
Ligands, Protein Conformation, Time Factors, Molecular Dynamics Simulation, Polycomb Repressive Complex 1

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