Evidence map›Paper›PMID 34453922›Full record

ArticleBiophysical journal2021

Multiscale computational study of ligand binding pathways: Case of p38 MAP kinase and its inhibitors.

Yu-Ming M Huang

Abstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Predicting Biomolecular Binding Kinetics: A Review.Journal of chemical theory and computation · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Molecular Modeling of ABHD5 Structure and Ligand Recognition.Frontiers in molecular biosciences · 2022
    Article
4 · The record

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5 · Who and what money

Authors and funding

1 author.

Yu-Ming M HuangDepartment of Physics and Astronomy, Wayne State University, Detroit, Michigan. Electronic address: ymhuang@wayne.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein kinases are one of the most important drug targets in the past 10 years. Understanding the inhibitor association processes will profoundly impact new binder designs with preferred binding kinetics. However, after more than a decade of effort, a complete atomistic-level study of kinase inhibitor binding pathways is still lacking. As all kinases share a similar scaffold, we used p38 kinase as a model system to investigate the conformational dynamics and free energy transition of inhibitor binding toward kinases. Two major kinase conformations, Asp-Phe-Gly (DFG)-in and DFG-out, and three types of inhibitors, type I, II, and III, were thoroughly investigated in this work. We performed Brownian dynamics simulations and up to 340 μs Gaussian-accelerated molecular dynamics simulations to capture the inhibitor binding paths and a series of conformational transitions of the p38 kinase from its apo to inhibitor-bound form. Eighteen successful binding trajectories, including all types of inhibitors, are reported herein. Our simulations suggest a mechanism of inhibitor recruitment, a faster ligand association step to a pre-existing DFG-in/DFG-out p38 protein, followed by a slower molecular rearrangement step to adjust the protein-ligand conformation followed by a shift in the energy landscape to reach the final bound state. The ligand association processes also reflect the energetic favor of type I and type II/III inhibitor binding through ATP and allosteric channels, respectively. These different binding routes are directly responsible for the fast (type I binders) and slow (type II/III binders) kinetics of different types of p38 inhibitors. Our findings also echo the recent study of p38 inhibitor dissociation, implying that ligand unbinding could undergo a reverse path of binding, and both processes share similar metastates. This study deepens the understanding of molecular and energetic features of kinase inhibitor-binding processes and will inspire future drug development from a kinetic point of view.

Indexed as

p38 Mitogen-Activated Protein KinasesProtein Kinase InhibitorsLigandsMolecular Dynamics SimulationProtein BindingProtein ConformationLigandsp38 Mitogen-Activated Protein KinasesProtein Kinase Inhibitors

Identifiers

PMID34453922
PMCPMC8511166

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.