Cited by 28Protein Structure and DynamicsComputational Drug Discovery MethodsReceptor Mechanisms and Signaling

Evidence of Conformational Selection Driving the Formation of Ligand Binding Sites in Protein-Protein Interfaces

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Bohnuud, Tanggis, Kozakov, Dima, Vajda, Sandor·2014·PLoS Computational Biology

Abstract

Many protein-protein interactions (PPIs) are compelling targets for drug discovery, and in a number of cases can be disrupted by small molecules. The main goal of this study is to examine the mechanism of binding site formation in the interface region of proteins that are PPI targets by comparing ligand-free and ligand-bound structures. To avoid any potential bias, we focus on ensembles of ligand-free protein conformations obtained by nuclear magnetic resonance (NMR) techniques and deposited in the Protein Data Bank, rather than on ensembles specifically generated for this study. The measures used for structure comparison are based on detecting binding hot spots, i.e., protein regions that are major contributors to the binding free energy. The main tool of the analysis is computational solvent mapping, which explores the surface of proteins by docking a large number of small "probe" molecules. Although we consider conformational ensembles obtained by NMR techniques, the analysis is independent of the method used for generating the structures. Finding the energetically most important regions, mapping can identify binding site residues using ligand-free models based on NMR data. In addition, the method selects conformations that are similar to some peptide-bound or ligand-bound structure in terms of the properties of the binding site. This agrees with the conformational selection model of molecular recognition, which assumes such pre-existing conformations. The analysis also shows the maximum level of similarity between unbound and bound states that is achieved without any influence from a ligand. Further shift toward the bound structure assumes protein-peptide or protein-ligand interactions, either selecting higher energy conformations that are not part of the NMR ensemble, or leading to induced fit. Thus, forming the sites in protein-protein interfaces that bind peptides and can be targeted by small ligands always includes conformational selection, although other recognition mechanisms may also be involved.

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Authors
Bohnuud, T., Kozakov, D., & Vajda, S.
Affiliations
Boston University (US)
Corresponding author
Kozakov, Dima
Venue
PLoS Computational Biology
Published
2014-10-02
Volume
10
Issue
10
Pages
e1003872
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W2156244640
Cited by
27
References
58
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2021: 2 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 4 · 2015: 11
FWCI
2.46
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Science Foundation (1147082)
  • National Institutes of Health (4r01gm061867-15)
  • National Institute of General Medical Sciences (R01GM093147, R01GM064700, R01-GM061867, 1R01GM061867)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
Keywords
conformational selection, protein-protein interaction, binding hot spots, induced fit, protein-peptide interactions, protein-ligand interactions, molecular recognition, binding free energy
MeSH terms
Binding Sites, Models, Molecular, Protein Binding, Protein Conformation, Proteins, Computational Biology, Nuclear Magnetic Resonance, Biomolecular, Databases, Protein

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