Cube-DB : detection of functional divergence in human protein families

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, th...

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Main Authors: Zhang, Zong Hong., Bharatham, Kavitha., Chee, Sharon M. Q., Mihalek, Ivana.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/96903
http://hdl.handle.net/10220/10012
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spelling sg-ntu-dr.10356-969032023-02-28T17:03:26Z Cube-DB : detection of functional divergence in human protein families Zhang, Zong Hong. Bharatham, Kavitha. Chee, Sharon M. Q. Mihalek, Ivana. School of Biological Sciences DRNTU::Science::Biological sciences 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. Published version 2013-05-28T01:49:31Z 2019-12-06T19:36:32Z 2013-05-28T01:49:31Z 2019-12-06T19:36:32Z 2011 2011 Journal Article 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. https://hdl.handle.net/10356/96903 http://hdl.handle.net/10220/10012 10.1093/nar/gkr1129 22139934 en Nucleic acids research © 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. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Biological sciences
spellingShingle DRNTU::Science::Biological sciences
Zhang, Zong Hong.
Bharatham, Kavitha.
Chee, Sharon M. Q.
Mihalek, Ivana.
Cube-DB : detection of functional divergence in human protein families
description 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.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Zhang, Zong Hong.
Bharatham, Kavitha.
Chee, Sharon M. Q.
Mihalek, Ivana.
format Article
author Zhang, Zong Hong.
Bharatham, Kavitha.
Chee, Sharon M. Q.
Mihalek, Ivana.
author_sort Zhang, Zong Hong.
title Cube-DB : detection of functional divergence in human protein families
title_short Cube-DB : detection of functional divergence in human protein families
title_full Cube-DB : detection of functional divergence in human protein families
title_fullStr Cube-DB : detection of functional divergence in human protein families
title_full_unstemmed Cube-DB : detection of functional divergence in human protein families
title_sort cube-db : detection of functional divergence in human protein families
publishDate 2013
url https://hdl.handle.net/10356/96903
http://hdl.handle.net/10220/10012
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