title: Exploring the evolutionary relationship of insulin receptor substrate family using computational biology.
abstract: 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.
authors.affiliation: School of Bioscience and Technology, VIT University, Vellore, India.
authors.forename: Chiranjib
authors.initials: C
authors.lastname: Chakraborty
authors.forename: Govindasamy
authors.initials: G
authors.lastname: Agoramoorthy
authors.forename: Minna J
authors.initials: MJ
authors.lastname: Hsu
mesh_terms: D000818:Animals; D020134:Catalytic Domain / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D019143:Evolution, Molecular; D006031:Glycosylation; D006801:Humans; D055504:Insulin Receptor Substrate Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism / Q000502:physiology; D007333:Insulin Resistance / Q000235:genetics; D008954:Models, Biological; D008958:Models, Molecular; D008962:Models, Theoretical; D005810:Multigene Family; D010802:Phylogeny
chemical_list: D055504:Insulin Receptor Substrate Proteins