Literature DB >> 28290199

Unbinding Kinetics of a p38 MAP Kinase Type II Inhibitor from Metadynamics Simulations.

Rodrigo Casasnovas1, Vittorio Limongelli2,3, Pratyush Tiwary4, Paolo Carloni1, Michele Parrinello5.   

Abstract

Understanding the structural and energetic requisites of ligand binding toward its molecular target is of paramount relevance in drug design. In recent years, atomistic free energy calculations have proven to be a valid tool to complement experiments in characterizing the thermodynamic and kinetic properties of protein/ligand interaction. Here, we investigate, through a recently developed metadynamics-based protocol, the unbinding mechanism of an inhibitor of the pharmacologically relevant target p38 MAP kinase. We provide a thorough description of the ligand unbinding pathway identifying the most stable binding mode and other thermodynamically relevant poses. From our simulations, we estimated the unbinding rate as koff = 0.020 ± 0.011 s-1. This is in good agreement with the experimental value (koff = 0.14 s-1). Next, we developed a Markov state model that allowed identifying the rate-limiting step of the ligand unbinding process. Our calculations further show that the solvation of the ligand and that of the active site play crucial roles in the unbinding process. This study paves the way to investigations on the unbinding dynamics of more complex p38 inhibitors and other pharmacologically relevant inhibitors in general, demonstrating that metadynamics can be a powerful tool in designing new drugs with engineered binding/unbinding kinetics.

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Year:  2017        PMID: 28290199     DOI: 10.1021/jacs.6b12950

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


  39 in total

1.  Role of Molecular Interactions and Protein Rearrangement in the Dissociation Kinetics of p38α MAP Kinase Type-I/II/III Inhibitors.

Authors:  Wanli You; Chia-En A Chang
Journal:  J Chem Inf Model       Date:  2018-04-16       Impact factor: 4.956

2.  Unbinding Dynamics of Non-Nucleoside Inhibitors from HIV-1 Reverse Transcriptase.

Authors:  Leela S Dodda; Julian Tirado-Rives; William L Jorgensen
Journal:  J Phys Chem B       Date:  2019-01-03       Impact factor: 2.991

3.  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

4.  Ligand binding free-energy calculations with funnel metadynamics.

Authors:  Stefano Raniolo; Vittorio Limongelli
Journal:  Nat Protoc       Date:  2020-08-19       Impact factor: 13.491

5.  Escape of a Small Molecule from Inside T4 Lysozyme by Multiple Pathways.

Authors:  Ariane Nunes-Alves; Daniel M Zuckerman; Guilherme Menegon Arantes
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

6.  Predicting reaction coordinates in energy landscapes with diffusion anisotropy.

Authors:  Pratyush Tiwary; B J Berne
Journal:  J Chem Phys       Date:  2017-10-21       Impact factor: 3.488

7.  Type II Binders Targeting the "GLR-Out" Conformation of the Pseudokinase STRADα.

Authors:  Ryan H B Smith; Zaigham M Khan; Peter Man-Un Ung; Alex P Scopton; Lisa Silber; Seshat M Mack; Alexander M Real; Avner Schlessinger; Arvin C Dar
Journal:  Biochemistry       Date:  2021-01-13       Impact factor: 3.162

Review 8.  Gaussian accelerated molecular dynamics for elucidation of drug pathways.

Authors:  Apurba Bhattarai; Yinglong Miao
Journal:  Expert Opin Drug Discov       Date:  2018-10-29       Impact factor: 6.098

9.  Acceleration of biomolecular kinetics in Gaussian accelerated molecular dynamics.

Authors:  Yinglong Miao
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

10.  Ligand Gaussian Accelerated Molecular Dynamics (LiGaMD): Characterization of Ligand Binding Thermodynamics and Kinetics.

Authors:  Yinglong Miao; Apurba Bhattarai; Jinan Wang
Journal:  J Chem Theory Comput       Date:  2020-08-07       Impact factor: 6.006

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