Prediction of Threonine-Tyrosine Kinase Receptor–Ligand Unbinding Kinetics with Multiscale Milestoning and Metadynamics

Accurately describing protein-ligand binding and unbinding kinetics remains challenging. Computational calculations are difficult and costly, while experimental measurements often lack molecular detail and can be unobtainable. Here, we extend our multiscale milestoning method, Simulation-Enabled Estimation of Kinetics Rates (SEEKR), with metadynamics molecular dynamics simulations to yield accurate small molecule drug residence times. Using the pharmaceutically relevant threonine-tyrosine kinase (TTK) and eight long-residence-time (tens of seconds to hours) inhibitors, we demonstrate accurate prediction of absolute and rank-ordered ligand residence times and free energies of binding.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2024-10-11
DOI
https://doi.org/10.1021/acs.jpclett.4c02332
Citations
7
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
2.53
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article

Prediction of Threonine-Tyrosine Kinase Receptor–Ligand Unbinding Kinetics with Multiscale Milestoning and Metadynamics

Lane Votapka, Anupam Anand Ojha, Rommie Elizabeth Amaro, Naoya Asada
7 citations
The Journal of Physical Chemistry Letters
Computational Drug Discovery Methods
2.53
article

Prediction of Threonine-Tyrosine Kinase Receptor–Ligand Unbinding Kinetics with Multiscale Milestoning and Metadynamics

Lane Votapka, Anupam Anand Ojha, Rommie Elizabeth Amaro, Naoya Asada
article en
7 citations

Abstract

Accurately describing protein-ligand binding and unbinding kinetics remains challenging. Computational calculations are difficult and costly, while experimental measurements often lack molecular detail and can be unobtainable. Here, we extend our multiscale milestoning method, Simulation-Enabled Estimation of Kinetics Rates (SEEKR), with metadynamics molecular dynamics simulations to yield accurate small molecule drug residence times. Using the pharmaceutically relevant threonine-tyrosine kinase (TTK) and eight long-residence-time (tens of seconds to hours) inhibitors, we demonstrate accurate prediction of absolute and rank-ordered ligand residence times and free energies of binding.

The Journal of Physical Chemistry LettersVol. 15(42)
University of California San Diego (US), Shionogi (Japan) (JP), Flatiron Health (United States) (US), Flatiron Institute (US)
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
2.53
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