Cargando…

Analysis of correlated mutations in Ras G-domain

Ras GTPases are most prevalent proto-oncogenes in human cancer. Mutations in Ras remain untreatable more than three decades after the initial discovery. At the amino acid level, some residues under physical or functional constraints exhibit correlated mutations also known as coevolving/covariant res...

Descripción completa

Detalles Bibliográficos
Autor principal: Pathak, Ekta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512854/
https://www.ncbi.nlm.nih.gov/pubmed/28729758
http://dx.doi.org/10.6026/97320630013174
_version_ 1783250543256272896
author Pathak, Ekta
author_facet Pathak, Ekta
author_sort Pathak, Ekta
collection PubMed
description Ras GTPases are most prevalent proto-oncogenes in human cancer. Mutations in Ras remain untreatable more than three decades after the initial discovery. At the amino acid level, some residues under physical or functional constraints exhibit correlated mutations also known as coevolving/covariant residues. Revealing intra-molecular co-evolution between amino acid sites of proteins has become an emerging area of research as it enlightens the importance of variable regions. Here, I have identified and analyzed the coevolving residues in the Ras GTP binding domain (G-domain). The obtained covariant residue position data correlate well with the known experimental data on functionally important residues. Therefore, it is of interest to understand these residue co-variations for designing protein engineering experiments and target oncogenic Ras GTPases.
format Online
Article
Text
id pubmed-5512854
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Biomedical Informatics
record_format MEDLINE/PubMed
spelling pubmed-55128542017-07-20 Analysis of correlated mutations in Ras G-domain Pathak, Ekta Bioinformation Hypothesis Ras GTPases are most prevalent proto-oncogenes in human cancer. Mutations in Ras remain untreatable more than three decades after the initial discovery. At the amino acid level, some residues under physical or functional constraints exhibit correlated mutations also known as coevolving/covariant residues. Revealing intra-molecular co-evolution between amino acid sites of proteins has become an emerging area of research as it enlightens the importance of variable regions. Here, I have identified and analyzed the coevolving residues in the Ras GTP binding domain (G-domain). The obtained covariant residue position data correlate well with the known experimental data on functionally important residues. Therefore, it is of interest to understand these residue co-variations for designing protein engineering experiments and target oncogenic Ras GTPases. Biomedical Informatics 2017-06-30 /pmc/articles/PMC5512854/ /pubmed/28729758 http://dx.doi.org/10.6026/97320630013174 Text en © 2017 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Pathak, Ekta
Analysis of correlated mutations in Ras G-domain
title Analysis of correlated mutations in Ras G-domain
title_full Analysis of correlated mutations in Ras G-domain
title_fullStr Analysis of correlated mutations in Ras G-domain
title_full_unstemmed Analysis of correlated mutations in Ras G-domain
title_short Analysis of correlated mutations in Ras G-domain
title_sort analysis of correlated mutations in ras g-domain
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512854/
https://www.ncbi.nlm.nih.gov/pubmed/28729758
http://dx.doi.org/10.6026/97320630013174
work_keys_str_mv AT pathakekta analysisofcorrelatedmutationsinrasgdomain