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Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas

[Image: see text] Flexibility is essential for many proteins to function, but can be difficult to characterize. Experiments lack resolution in space and time, while the time scales involved are prohibitively long for straightforward molecular dynamics simulations. In this work, we present a multiple...

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Autores principales: Roet, Sander, Hooft, Ferry, Bolhuis, Peter G., Swenson, David W. H., Vreede, Jocelyne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743084/
https://www.ncbi.nlm.nih.gov/pubmed/36427204
http://dx.doi.org/10.1021/acs.jpcb.2c06235
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author Roet, Sander
Hooft, Ferry
Bolhuis, Peter G.
Swenson, David W. H.
Vreede, Jocelyne
author_facet Roet, Sander
Hooft, Ferry
Bolhuis, Peter G.
Swenson, David W. H.
Vreede, Jocelyne
author_sort Roet, Sander
collection PubMed
description [Image: see text] Flexibility is essential for many proteins to function, but can be difficult to characterize. Experiments lack resolution in space and time, while the time scales involved are prohibitively long for straightforward molecular dynamics simulations. In this work, we present a multiple state transition path sampling simulation study of a protein that has been notoriously difficult to characterize in its active state. The GTPase enzyme KRas is a signal transduction protein in pathways for cell differentiation, growth, and division. When active, KRas tightly binds guanosine triphosphate (GTP) in a rigid state. The protein–GTP complex can also visit more flexible states, in which it is not active. KRas mutations can affect the conversion between these rigid and flexible states, thus prolonging the activation of signal transduction pathways, which may result in tumor formation. In this work, we apply path sampling simulations to investigate the dynamic behavior of KRas-4B (wild type, WT) and the oncogenic mutant Q61L (Q61L). Our results show that KRas visits several conformational states, which are the same for WT and Q61L. The multiple state transition path sampling (MSTPS) method samples transitions between the different states in a single calculation. Tracking which transitions occur shows large differences between WT and Q61L. The MSTPS results further reveal that for Q61L, a route to a more flexible state is inaccessible, thus shifting the equilibrium to more rigid states. The methodology presented here enables a detailed characterization of protein flexibility on time scales not accessible with brute-force molecular dynamics simulations.
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spelling pubmed-97430842022-12-13 Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas Roet, Sander Hooft, Ferry Bolhuis, Peter G. Swenson, David W. H. Vreede, Jocelyne J Phys Chem B [Image: see text] Flexibility is essential for many proteins to function, but can be difficult to characterize. Experiments lack resolution in space and time, while the time scales involved are prohibitively long for straightforward molecular dynamics simulations. In this work, we present a multiple state transition path sampling simulation study of a protein that has been notoriously difficult to characterize in its active state. The GTPase enzyme KRas is a signal transduction protein in pathways for cell differentiation, growth, and division. When active, KRas tightly binds guanosine triphosphate (GTP) in a rigid state. The protein–GTP complex can also visit more flexible states, in which it is not active. KRas mutations can affect the conversion between these rigid and flexible states, thus prolonging the activation of signal transduction pathways, which may result in tumor formation. In this work, we apply path sampling simulations to investigate the dynamic behavior of KRas-4B (wild type, WT) and the oncogenic mutant Q61L (Q61L). Our results show that KRas visits several conformational states, which are the same for WT and Q61L. The multiple state transition path sampling (MSTPS) method samples transitions between the different states in a single calculation. Tracking which transitions occur shows large differences between WT and Q61L. The MSTPS results further reveal that for Q61L, a route to a more flexible state is inaccessible, thus shifting the equilibrium to more rigid states. The methodology presented here enables a detailed characterization of protein flexibility on time scales not accessible with brute-force molecular dynamics simulations. American Chemical Society 2022-11-25 2022-12-08 /pmc/articles/PMC9743084/ /pubmed/36427204 http://dx.doi.org/10.1021/acs.jpcb.2c06235 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Roet, Sander
Hooft, Ferry
Bolhuis, Peter G.
Swenson, David W. H.
Vreede, Jocelyne
Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title_full Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title_fullStr Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title_full_unstemmed Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title_short Path Sampling Simulations Reveal How the Q61L Mutation Alters the Dynamics of KRas
title_sort path sampling simulations reveal how the q61l mutation alters the dynamics of kras
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743084/
https://www.ncbi.nlm.nih.gov/pubmed/36427204
http://dx.doi.org/10.1021/acs.jpcb.2c06235
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