Literature DB >> 30645121

Dissociation Process of a MDM2/p53 Complex Investigated by Parallel Cascade Selection Molecular Dynamics and the Markov State Model.

Duy Phuoc Tran1, Akio Kitao1.   

Abstract

Recently, we efficiently generated dissociation pathways of a protein-ligand complex without applying force bias with parallel cascade selection molecular dynamics (PaCS-MD) and showed that PaCS-MD in combination with the Markov state model (MSM) yielded a binding free energy comparable to experimental values. In this work, we applied the same procedure to a complex of MDM2 protein and the transactivation domain of p53 protein (TAD-p53), the latter of which is known to be very flexible in the unbound state. Using 30 independent MD simulations in PaCS-MD, we successfully generated 25 dissociation pathways of the complex, which showed complete or partial unfolding of the helical region of TAD-p53 during the dissociation process within an average simulation time of 154.8 ± 46.4 ns. The standard binding free energy obtained in combination with one-dimensional-, three-dimensional (3D)- or Cα-MSM was in good agreement with those determined experimentally. Using 3D-MSM based on the center of mass position of TAD-p53 relative to MDM2, the dissociation rate constant was calculated, which was comparable to those measured experimentally. Cα-MSM based on all Cα coordinates of TAD-p53 reproduced the experimentally measured standard binding free energy, and dissociation and association rate constants. We conclude that the combination of PaCS-MD and MSM offers an efficient computational procedure to calculate binding free energies and kinetic rates.

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Year:  2019        PMID: 30645121     DOI: 10.1021/acs.jpcb.8b10309

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  9 in total

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Journal:  Curr Opin Struct Biol       Date:  2021-01-02       Impact factor: 6.809

2.  Encounter complexes and hidden poses of kinase-inhibitor binding on the free-energy landscape.

Authors:  Suyong Re; Hiraku Oshima; Kento Kasahara; Motoshi Kamiya; Yuji Sugita
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-26       Impact factor: 11.205

3.  Reaction Pathway Sampling and Free-Energy Analyses for Multimeric Protein Complex Disassembly by Employing Hybrid Configuration Bias Monte Carlo/Molecular Dynamics Simulation.

Authors:  Ikuo Kurisaki; Shigenori Tanaka
Journal:  ACS Omega       Date:  2021-02-05

4.  Computer simulation of the Receptor-Ligand Interactions of Mannose Receptor CD206 in Comparison with the Lectin Concanavalin A Model.

Authors:  Igor D Zlotnikov; Elena V Kudryashova
Journal:  Biochemistry (Mosc)       Date:  2022-01       Impact factor: 2.824

5.  Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model.

Authors:  Hiroaki Hata; Duy Phuoc Tran; Mohamed Marzouk Sobeh; Akio Kitao
Journal:  Biophys Physicobiol       Date:  2021-12-04

6.  Inhibition of the hexamerization of SARS-CoV-2 endoribonuclease and modeling of RNA structures bound to the hexamer.

Authors:  Yuta Taira; Takumi Ogawa; Duy Phuoc Tran; Ryoga Misu; Yoshiki Miyazawa; Akio Kitao
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

7.  Computational Investigation on the p53-MDM2 Interaction Using the Potential of Mean Force Study.

Authors:  Pundarikaksha Das; Venkata Satish Kumar Mattaparthi
Journal:  ACS Omega       Date:  2020-04-10

8.  High pressure inhibits signaling protein binding to the flagellar motor and bacterial chemotaxis through enhanced hydration.

Authors:  Hiroaki Hata; Yasutaka Nishihara; Masayoshi Nishiyama; Yoshiyuki Sowa; Ikuro Kawagishi; Akio Kitao
Journal:  Sci Rep       Date:  2020-02-11       Impact factor: 4.379

9.  A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors.

Authors:  João Marcelo Lamim Ribeiro; Davide Provasi; Marta Filizola
Journal:  J Chem Phys       Date:  2020-09-28       Impact factor: 3.488

  9 in total

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