Literature DB >> 26636362

Atomistic Simulation of Adiabatic Reactive Processes Based on Multi-State Potential Energy Surfaces.

Jonas Danielsson1, Markus Meuwly1.   

Abstract

The adiabatic reactive molecular dynamics (ARMD) method provides a framework to study chemical reactions using molecular dynamics simulations with minimal computational overhead. Here, ARMD is generalized to an arbitrary reactive process between two states in which reactants and products can be treated by an atomistic force field. The implementation is described, and the method is applied to two systems: the kinetics of NO rebinding to myoglobin (Mb) as a validation system and the conformational transition in neuroglobin (Ngb) which explores the full functionality of ARMD. For MbNO, the nonexponential kinetics observed both in experiment and earlier ARMD studies is reproduced. Furthermore, the sensitivity of the results with respect to the asymptotic separation between the two potential energy surfaces (NO bound and unbound) is studied.

Entities:  

Year:  2008        PMID: 26636362     DOI: 10.1021/ct800066q

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


  11 in total

1.  Dynamic features of carboxy cytoglobin distal mutants investigated by molecular dynamics simulations.

Authors:  Cong Zhao; Weihong Du
Journal:  J Biol Inorg Chem       Date:  2016-02-03       Impact factor: 3.358

2.  Effects of distal mutation on the dynamic properties of carboxycytoglobin: a molecular dynamics simulation study.

Authors:  Cong Zhao; Bingbing Zhang; Weihong Du
Journal:  J Biol Inorg Chem       Date:  2013-09-14       Impact factor: 3.358

3.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

4.  Quantitative analysis of ligand migration from transition networks.

Authors:  Sabyashachi Mishra; Markus Meuwly
Journal:  Biophys J       Date:  2010-12-15       Impact factor: 4.033

Review 5.  Implications of short time scale dynamics on long time processes.

Authors:  Krystel El Hage; Sebastian Brickel; Sylvain Hermelin; Geoffrey Gaulier; Cédric Schmidt; Luigi Bonacina; Siri C van Keulen; Swarnendu Bhattacharyya; Majed Chergui; Peter Hamm; Ursula Rothlisberger; Jean-Pierre Wolf; Markus Meuwly
Journal:  Struct Dyn       Date:  2017-12-22       Impact factor: 2.920

Review 6.  Reaction prediction via atomistic simulation: from quantum mechanics to machine learning.

Authors:  Pei-Lin Kang; Zhi-Pan Liu
Journal:  iScience       Date:  2020-12-30

Review 7.  Ultrafast dynamics induced by the interaction of molecules with electromagnetic fields: Several quantum, semiclassical, and classical approaches.

Authors:  Sergey V Antipov; Swarnendu Bhattacharyya; Krystel El Hage; Zhen-Hao Xu; Markus Meuwly; Ursula Rothlisberger; Jiří Vaníček
Journal:  Struct Dyn       Date:  2018-01-08       Impact factor: 2.920

Review 8.  Nonadiabatic effects in electronic and nuclear dynamics.

Authors:  Martin P Bircher; Elisa Liberatore; Nicholas J Browning; Sebastian Brickel; Cornelia Hofmann; Aurélien Patoz; Oliver T Unke; Tomáš Zimmermann; Majed Chergui; Peter Hamm; Ursula Keller; Markus Meuwly; Hans-Jakob Woerner; Jiří Vaníček; Ursula Rothlisberger
Journal:  Struct Dyn       Date:  2018-01-09       Impact factor: 2.920

9.  Solvent Composition Drives the Rebinding Kinetics of Nitric Oxide to Microperoxidase.

Authors:  Padmabati Mondal; Markus Meuwly
Journal:  Sci Rep       Date:  2018-03-27       Impact factor: 4.379

10.  Molecular Dynamics model of peptide-protein conjugation: case study of covalent complex between Sos1 peptide and N-terminal SH3 domain from Grb2.

Authors:  Dmitrii A Luzik; Olga N Rogacheva; Sergei A Izmailov; Maria I Indeykina; Alexei S Kononikhin; Nikolai R Skrynnikov
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.