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Domain-mediated interactions for protein subfamily identification
- Source :
- Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020), Scientific Reports
- Publication Year :
- 2020
- Publisher :
- Nature Publishing Group, 2020.
-
Abstract
- Within a protein family, proteins with the same domain often exhibit different cellular functions, despite the shared evolutionary history and molecular function of the domain. We hypothesized that domain-mediated interactions (DMIs) may categorize a protein family into subfamilies because the diversified functions of a single domain often depend on interacting partners of domains. Here we systematically identified DMI subfamilies, in which proteins share domains with DMI partners, as well as with various functional and physical interaction networks in individual species. In humans, DMI subfamily members are associated with similar diseases, including cancers, and are frequently co-associated with the same diseases. DMI information relates to the functional and evolutionary subdivisions of human kinases. In yeast, DMI subfamilies contain proteins with similar phenotypic outcomes from specific chemical treatments. Therefore, the systematic investigation here provides insights into the diverse functions of subfamilies derived from a protein family with a link-centric approach and suggests a useful resource for annotating the functions and phenotypic outcomes of proteins.
- Subjects :
- 0301 basic medicine
Subfamily
Protein domain
Cellular functions
lcsh:Medicine
Computational biology
Biology
Genome informatics
Article
Domain (software engineering)
Functional clustering
Evolution, Molecular
03 medical and health sciences
0302 clinical medicine
Protein Domains
Molecular function
Neoplasms
Protein analysis
Humans
Protein Interaction Maps
Databases, Protein
lcsh:Science
Multidisciplinary
Protein subfamily
lcsh:R
Proteins
Phenotype
030104 developmental biology
Multigene Family
Identification (biology)
lcsh:Q
Protein Kinases
human activities
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....00c769e02677ec8f6b01cca98132c7bc
- Full Text :
- https://doi.org/10.1038/s41598-019-57187-z