Literature DB >> 29182324

Protein-Ligand Dissociation Simulated by Parallel Cascade Selection Molecular Dynamics.

Duy Phuoc Tran1, Kazuhiro Takemura2, Kazuo Kuwata3, Akio Kitao4.   

Abstract

We investigated the dissociation process of tri-N-acetyl-d-glucosamine from hen egg white lysozyme using parallel cascade selection molecular dynamics (PaCS-MD), which comprises cycles of multiple unbiased MD simulations using a selection of MD snapshots as the initial structures for the next cycle. Dissociation was significantly accelerated by PaCS-MD, in which the probability of rare event occurrence toward dissociation was enhanced by the selection and rerandomization of the initial velocities. Although this complex was stable during 1 μs of conventional MD, PaCS-MD easily induced dissociation within 100-101 ns. We found that velocity rerandomization enhances the dissociation of triNAG from the bound state, whereas diffusion plays a more important role in the unbound state. We calculated the dissociation free energy by analyzing all PaCS-MD trajectories using the Markov state model (MSM), compared the results to those obtained by combinations of PaCS-MD and umbrella sampling (US), steered MD (SMD) and US, and SMD and the Jarzynski equality, and experimentally determined binding free energy. PaCS-MD/MSM yielded results most comparable to the experimentally determined binding free energy, independent of simulation parameter variations, and also gave the lowest standard errors.

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Year:  2017        PMID: 29182324     DOI: 10.1021/acs.jctc.7b00504

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  8 in total

1.  Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides.

Authors:  Duy Phuoc Tran; Seiichi Tada; Akiko Yumoto; Akio Kitao; Yoshihiro Ito; Takanori Uzawa; Koji Tsuda
Journal:  Sci Rep       Date:  2021-05-20       Impact factor: 4.379

2.  Computational prediction and in vitro validation of VEGFR1 as a novel protein target for 2,3,7,8-tetrachlorodibenzo-p-dioxin.

Authors:  Kumaraswamy Naidu Chitrala; Xiaoming Yang; Brandon Busbee; Narendra P Singh; Laura Bonati; Yongna Xing; Prakash Nagarkatti; Mitzi Nagarkatti
Journal:  Sci Rep       Date:  2019-05-02       Impact factor: 4.379

3.  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

4.  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

5.  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

6.  How Effectively Can Adaptive Sampling Methods Capture Spontaneous Ligand Binding?

Authors:  Robin M Betz; Ron O Dror
Journal:  J Chem Theory Comput       Date:  2019-02-04       Impact factor: 6.006

7.  Enhancing Biomolecular Sampling with Reinforcement Learning: A Tree Search Molecular Dynamics Simulation Method.

Authors:  Kento Shin; Duy Phuoc Tran; Kazuhiro Takemura; Akio Kitao; Kei Terayama; Koji Tsuda
Journal:  ACS Omega       Date:  2019-08-19

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

  8 in total

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