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Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas
The Ras family of proteins is known to play an important role in cellular signal transduction. The oncoprotein Ras is also found to be mutated in ~90% of the pancreatic cancers, of which G12V, G13V, A59G and Q61L are the known hot-spot mutants. These ubiquitous proteins fall in the family of G-prote...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567374/ https://www.ncbi.nlm.nih.gov/pubmed/33064725 http://dx.doi.org/10.1371/journal.pone.0234836 |
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author | Sharma, Neeru Sonavane, Uddhavesh Joshi, Rajendra |
author_facet | Sharma, Neeru Sonavane, Uddhavesh Joshi, Rajendra |
author_sort | Sharma, Neeru |
collection | PubMed |
description | The Ras family of proteins is known to play an important role in cellular signal transduction. The oncoprotein Ras is also found to be mutated in ~90% of the pancreatic cancers, of which G12V, G13V, A59G and Q61L are the known hot-spot mutants. These ubiquitous proteins fall in the family of G-proteins, and hence switches between active GTP bound and inactive GDP bound states, which is hindered in most of its oncogenic mutant counterparts. Moreover, Ras being a GTPase has an intrinsic property to hydrolyze GTP to GDP, which is obstructed due to mutations and lends the mutants stuck in constitutively active state leading to oncogenic behavior. In this regard, the present study aims to understand the dynamics involved in the hot-spot mutant A59G-Ras using long 10μs classical MD simulations (5μs for each of the wild-type and mutant systems) and comparing the same with its wild-type counterpart. Advanced analytics using Markov State Model (MSM) based approach has been deployed to comparatively understand the transition path for the wild-type and mutant systems. Roles of crucial residues like Tyr32, Gln61 and Tyr64 have also been established using multivariate PCA analyses. Furthermore, this multivariate PCA analysis also provides crucial features which may be used as reaction coordinates for biased simulations for further studies. The absence of formation of pre-hydrolysis network is also reported for the mutant conformation, using the distance-based analyses (between crucial residues) of the conserved regions. The implications of this study strengthen the hypothesis that the disruption of the pre-hydrolysis network in the mutant A59G ensemble might lead to permanently active oncogenic conformation in the mutant conformers. |
format | Online Article Text |
id | pubmed-7567374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75673742020-10-21 Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas Sharma, Neeru Sonavane, Uddhavesh Joshi, Rajendra PLoS One Research Article The Ras family of proteins is known to play an important role in cellular signal transduction. The oncoprotein Ras is also found to be mutated in ~90% of the pancreatic cancers, of which G12V, G13V, A59G and Q61L are the known hot-spot mutants. These ubiquitous proteins fall in the family of G-proteins, and hence switches between active GTP bound and inactive GDP bound states, which is hindered in most of its oncogenic mutant counterparts. Moreover, Ras being a GTPase has an intrinsic property to hydrolyze GTP to GDP, which is obstructed due to mutations and lends the mutants stuck in constitutively active state leading to oncogenic behavior. In this regard, the present study aims to understand the dynamics involved in the hot-spot mutant A59G-Ras using long 10μs classical MD simulations (5μs for each of the wild-type and mutant systems) and comparing the same with its wild-type counterpart. Advanced analytics using Markov State Model (MSM) based approach has been deployed to comparatively understand the transition path for the wild-type and mutant systems. Roles of crucial residues like Tyr32, Gln61 and Tyr64 have also been established using multivariate PCA analyses. Furthermore, this multivariate PCA analysis also provides crucial features which may be used as reaction coordinates for biased simulations for further studies. The absence of formation of pre-hydrolysis network is also reported for the mutant conformation, using the distance-based analyses (between crucial residues) of the conserved regions. The implications of this study strengthen the hypothesis that the disruption of the pre-hydrolysis network in the mutant A59G ensemble might lead to permanently active oncogenic conformation in the mutant conformers. Public Library of Science 2020-10-16 /pmc/articles/PMC7567374/ /pubmed/33064725 http://dx.doi.org/10.1371/journal.pone.0234836 Text en © 2020 Sharma et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sharma, Neeru Sonavane, Uddhavesh Joshi, Rajendra Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title | Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title_full | Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title_fullStr | Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title_full_unstemmed | Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title_short | Comparative MD simulations and advanced analytics based studies on wild-type and hot-spot mutant A59G HRas |
title_sort | comparative md simulations and advanced analytics based studies on wild-type and hot-spot mutant a59g hras |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567374/ https://www.ncbi.nlm.nih.gov/pubmed/33064725 http://dx.doi.org/10.1371/journal.pone.0234836 |
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