ArticleThe Journal of chemical physics2022
Assessing models of force-dependent unbinding rates via infrequent metadynamics.
Article in The Journal of chemical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Stepping Up Enhanced Rate Calculations with EATR-Flooding.Journal of chemical theory and computation · 2026Article
- A balance between nucleating and elongating actin filaments controls deformation of protein condensates.Science advances · 2026Article
- Mechanochemical feedback between confinement and actin crosslinking drives the shape dynamics of liquid-like droplets.Nature communications · 2026Article
- A direct computational assessment of vinculin-actin unbinding kinetics reveals catch-bonding behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The dawn of biophysical representations in computational immunology.QRB discovery · 2025Review
- Molecular simulation approaches to probing the effects of mechanical forces in the actin cytoskeleton.Cytoskeleton (Hoboken, N.J.) · 2024Article
- Good Rates From Bad Coordinates: The Exponential Average Time-dependent Rate Approach.Journal of chemical theory and computation · 2024Article
- Topology of molecular deformations induces triphasic catch bonding in selectin-ligand bonds.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Reaction Coordinates for Conformational Transitions Using Linear Discriminant Analysis on Positions.Journal of chemical theory and computation · 2023Article
- A coarse-grained simulation model for colloidal self-assemblySoft matter · 2023Article
- Inferring equilibrium transition rates from nonequilibrium protocols.Biophysical journal · 2023Article
- Water regulates the residence time of Benzamidine in Trypsin.Nature communications · 2022Article
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2 authors.
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Abstract
Protein-ligand interactions are crucial for a wide range of physiological processes. Many cellular functions result in these non-covalent "bonds" being mechanically strained, and this can be integral to proper cellular function. Broadly, two classes of force dependence have been observed-slip bonds, where the unbinding rate increases, and catch bonds, where the unbinding rate decreases. Despite much theoretical work, we cannot predict for which protein-ligand pairs, pulling coordinates, and forces a particular rate dependence will appear. Here, we assess the ability of MD simulations combined with enhanced sampling techniques to probe the force dependence of unbinding rates. We show that the infrequent metadynamics technique correctly produces both catch and slip bonding kinetics for model potentials. We then apply it to the well-studied case of a buckyball in a hydrophobic cavity, which appears to exhibit an ideal slip bond. Finally, we compute the force-dependent unbinding rate of biotin-streptavidin. Here, the complex nature of the unbinding process causes the infrequent metadynamics method to begin to break down due to the presence of unbinding intermediates, despite the use of a previously optimized sampling coordinate. Allowing for this limitation, a combination of kinetic and free energy computations predicts an overall slip bond for larger forces consistent with prior experimental results although there are substantial deviations at small forces that require further investigation. This work demonstrates the promise of predicting force-dependent unbinding rates using enhanced sampling MD techniques while also revealing the methodological barriers that must be overcome to tackle more complex targets in the future.
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