Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology

Insulin receptor substrate (IRS) harbors proteins such as IRS1, IRS2, IRS3, IRS4, IRS5 and IRS6. These key proteins act as vital downstream regulators in the insulin signaling pathway. However, little is known about the evolutionary relationship among the IRS family members. This study explores the...

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Detalles Bibliográficos
Autores principales: Chakraborty, Chiranjib, Agoramoorthy, Govindasamy, Hsu, Minna J.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045367/
https://www.ncbi.nlm.nih.gov/pubmed/21364910
http://dx.doi.org/10.1371/journal.pone.0016580
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author Chakraborty, Chiranjib
Agoramoorthy, Govindasamy
Hsu, Minna J.
author_facet Chakraborty, Chiranjib
Agoramoorthy, Govindasamy
Hsu, Minna J.
author_sort Chakraborty, Chiranjib
collection PubMed
description Insulin receptor substrate (IRS) harbors proteins such as IRS1, IRS2, IRS3, IRS4, IRS5 and IRS6. These key proteins act as vital downstream regulators in the insulin signaling pathway. However, little is known about the evolutionary relationship among the IRS family members. This study explores the potential to depict the evolutionary relationship among the IRS family using bioinformatics, algorithm analysis and mathematical models.
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spelling pubmed-30453672011-03-01 Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology Chakraborty, Chiranjib Agoramoorthy, Govindasamy Hsu, Minna J. PLoS One Research Article Insulin receptor substrate (IRS) harbors proteins such as IRS1, IRS2, IRS3, IRS4, IRS5 and IRS6. These key proteins act as vital downstream regulators in the insulin signaling pathway. However, little is known about the evolutionary relationship among the IRS family members. This study explores the potential to depict the evolutionary relationship among the IRS family using bioinformatics, algorithm analysis and mathematical models. Public Library of Science 2011-02-25 /pmc/articles/PMC3045367/ /pubmed/21364910 http://dx.doi.org/10.1371/journal.pone.0016580 Text en Chakraborty 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chakraborty, Chiranjib
Agoramoorthy, Govindasamy
Hsu, Minna J.
Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title_full Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title_fullStr Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title_full_unstemmed Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title_short Exploring the Evolutionary Relationship of Insulin Receptor Substrate Family Using Computational Biology
title_sort exploring the evolutionary relationship of insulin receptor substrate family using computational biology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045367/
https://www.ncbi.nlm.nih.gov/pubmed/21364910
http://dx.doi.org/10.1371/journal.pone.0016580
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