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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Biomedical Informatics
2017
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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 |
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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 |