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|Title:||Cube-DB : detection of functional divergence in human protein families||Authors:||Zhang, Zong Hong.
Chee, Sharon M. Q.
|Keywords:||DRNTU::Science::Biological sciences||Issue Date:||2011||Source:||Zhang, Z. H., Bharatham, K., Chee, S. M. Q., & Mihalek, I. (2011). Cube-DB: detection of functional divergence in human protein families. Nucleic Acids Research, 40(D1), D490-D494.||Series/Report no.:||Nucleic acids research||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.||URI:||https://hdl.handle.net/10356/96903
|DOI:||http://dx.doi.org/10.1093/nar/gkr1129||Rights:||© 2011 The Author(s). This paper was published in Nucleic Acids Research and is made available as an electronic reprint (preprint) with permission of The Author(s). The paper can be found at the following official DOI: [http://dx.doi.org/10.1093/nar/gkr1129]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
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