Both protein dynamics and ligand concentration can shift the binding mechanism between conformational selection and induced fit
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This study aimed to shed light on the long debate over whether conformational selection (CS) or induced fit (IF) is the governing mechanism for protein-ligand binding. The main difference between the two scenarios is whether the conformational transition of the protein from the unbound form to the bound form occurs before or after encountering the ligand. Here we introduce the IF fraction (i.e., the fraction of binding events achieved via IF), to quantify the binding mechanism. Using simulations of a model protein-ligand system, we demonstrate that both the rate of the conformational transition and the concentration of ligand molecules can affect the IF fraction. CS dominates at slow conformational transition and low ligand concentration. An increase in either quantity results in a higher IF fraction. Despite the many-body nature of the system and the involvement of multiple, disparate types of dynamics (i.e., ligand diffusion, protein conformational transition, and binding reaction), the overall binding kinetics over wide ranges of parameters can be fit to a single exponential, with the apparent rate constant exhibiting a linear dependence on ligand concentration. The present study may guide future kinetics experiments and dynamics simulations in determining the IF fraction.
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Evidence points to the conformational selection binding mechanism, which allows one to precompute the conformational ensemble of the interacting molecule(s) and dock the separate conformers with limited conformational search.
“In a long-standing debate between the proponents of the “induced-fit” and the “conformational selection” binding mechanisms [21–23], the evidence pointing to the latter allows one to precompute the conformational ensemble of the interacting molecule(s) and dock the separate conformers with limited conformational search [24,25].”
From Challenges in protein docking (2020) · cites this paper as [23]
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- Authors
- Greives, N., & Zhou, H.-X.
- Affiliations
- Florida State University (US)
- ORCID
- Zhou, Huan-Xiang
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-06-30
- Volume
- 111
- Issue
- 28
- Pages
- 10197-10202
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4104862
- OpenAlex
- W2040934203
- Cited by
- 82
- References
- 43
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 7 · 2022: 7 · 2021: 2 · 2020: 10 · 2019: 6 · 2018: 9 · 2017: 5 · 2016: 16 · 2015: 9 · 2014: 3
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (GM 58187, R01GM058187)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Diffusion and Search Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
- Keywords
- protein-ligand binding, conformational selection, induced fit, binding mechanism, ligand concentration, binding kinetics, apparent rate constant, ligand diffusion, protein dynamics
- MeSH terms
- Kinetics, Ligands, Models, Chemical, Proteins, Molecular Dynamics Simulation
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