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Cube-DB: detection of functional divergence in human protein families.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2012 Jan; Vol. 40 (Database issue), pp. D490-4. Date of Electronic Publication: 2011 Dec 01. - Publication Year :
- 2012
-
Abstract
- Cube-DB is a database of pre-evaluated results for detection of functional divergence in human/vertebrate protein families. The analysis is organized around the nomenclature associated with the human proteins, but based on all currently available vertebrate genomes. Using full genomes enables us, through a mutual-best-hit strategy, to construct comparable taxonomical samples for all paralogues under consideration. Functional specialization is scored on the residue level according to two models of behavior after divergence: heterotachy and homotachy. In the first case, the positions on the protein sequence are scored highly if they are conserved in the reference group of orthologs, and overlap poorly with the residue type choice in the paralogs groups (such positions will also be termed functional determinants). The second model additionally requires conservation within each group of paralogs (functional discriminants). The scoring functions are phylogeny independent, but sensitive to the residue type similarity. The results are presented as a table of per-residue scores, and mapped onto related structure (when available) via browser-embedded visualization tool. They can also be downloaded as a spreadsheet table, and sessions for two additional molecular visualization tools. The database interface is available at http://epsf.bmad.bii.a-star.edu.sg/cube/db/html/home.html.
- Subjects :
- Conserved Sequence
Humans
Models, Molecular
Proteins physiology
Receptor, Interferon alpha-beta chemistry
Receptors, Interferon chemistry
Sequence Alignment
Sequence Analysis, Protein
User-Computer Interface
Interferon gamma Receptor
Databases, Protein
Proteins chemistry
Proteins classification
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 40
- Issue :
- Database issue
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 22139934
- Full Text :
- https://doi.org/10.1093/nar/gkr1129