Literature DB >> 29303257

Unbiased Molecular Dynamics of 11 min Timescale Drug Unbinding Reveals Transition State Stabilizing Interactions.

Samuel D Lotz1, Alex Dickson1.   

Abstract

Ligand (un)binding kinetics is being recognized as a determinant of drug specificity and efficacy in an increasing number of systems. However, the calculation of kinetics and the simulation of drug unbinding is more difficult than computing thermodynamic quantities, such as binding free energies. Here we present the first full simulations of an unbinding process at pharmacologically relevant time scales (11 min), without the use of biasing forces, detailed prior knowledge, or specialized processors using the weighted ensemble based algorithm, WExplore. These simulations show the inhibitor TPPU unbinding from its enzyme target soluble epoxide hydrolase, which is a clinically relevant target that has attracted interest in kinetics optimization in order to increase efficacy. We make use of conformation space networks that allow us to conceptualize unbinding not just as a linear process, but as a network of interconnected states that connect the bound and unbound states. This allows us to visualize patterns in hydrogen-bonding, solvation, and nonequilibrium free energies, without projection onto progress coordinates. The topology and layout of the network reveal multiple unbinding pathways, and other rare events, such as the reversal of ligand orientation within the binding site. Furthermore, we make a prediction of the transition state ensemble, using transition path theory, and identify protein-ligand interactions which are stabilizing to the transition state. Additionally, we uncover trends in ligand and binding site solvation that corroborate experimental evidence from more classical structure kinetics relationships and generate new questions as to the role of drug modifications in kinetics optimization. Finally, from only 6 μs of simulation time we observed 75 unbinding events from which we calculate a residence time of 42 s, and a standard error range of 23 to 280 s. This nearly encompasses the experimental residence time 11 min (660 s). In addition to the insights to sEH inhibitor unbinding, this study shows that simulations of complex processes on timescales as long as minutes are becoming feasible for more researchers to perform.

Entities:  

Year:  2018        PMID: 29303257     DOI: 10.1021/jacs.7b08572

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  23 in total

Review 1.  Markov State Models to Elucidate Ligand Binding Mechanism.

Authors:  Yunhui Ge; Vincent A Voelz
Journal:  Methods Mol Biol       Date:  2021

2.  Predicting ligand binding affinity using on- and off-rates for the SAMPL6 SAMPLing challenge.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

3.  Enhanced Jarzynski free energy calculations using weighted ensemble.

Authors:  Nicole M Roussey; Alex Dickson
Journal:  J Chem Phys       Date:  2020-10-07       Impact factor: 3.488

4.  Adaptive Markov state model estimation using short reseeding trajectories.

Authors:  Hongbin Wan; Vincent A Voelz
Journal:  J Chem Phys       Date:  2020-01-14       Impact factor: 3.488

Review 5.  Structure-kinetic relationships that control the residence time of drug-target complexes: insights from molecular structure and dynamics.

Authors:  Hao Lu; James N Iuliano; Peter J Tonge
Journal:  Curr Opin Chem Biol       Date:  2018-07-06       Impact factor: 8.822

6.  Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  Methods Mol Biol       Date:  2022

7.  Gaussian-Accelerated Molecular Dynamics with the Weighted Ensemble Method: A Hybrid Method Improves Thermodynamic and Kinetic Sampling.

Authors:  Surl-Hee Ahn; Anupam A Ojha; Rommie E Amaro; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2021-11-30       Impact factor: 6.006

8.  Estimation of binding rates and affinities from multiensemble Markov models and ligand decoupling.

Authors:  Yunhui Ge; Vincent A Voelz
Journal:  J Chem Phys       Date:  2022-04-07       Impact factor: 3.488

Review 9.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

10.  WESTPA 2.0: High-Performance Upgrades for Weighted Ensemble Simulations and Analysis of Longer-Timescale Applications.

Authors:  John D Russo; She Zhang; Jeremy M G Leung; Anthony T Bogetti; Jeff P Thompson; Alex J DeGrave; Paul A Torrillo; A J Pratt; Kim F Wong; Junchao Xia; Jeremy Copperman; Joshua L Adelman; Matthew C Zwier; David N LeBard; Daniel M Zuckerman; Lillian T Chong
Journal:  J Chem Theory Comput       Date:  2022-01-19       Impact factor: 6.006

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