Skip Navigation



Bioinformatics Advance Access published online on February 8, 2008

Bioinformatics, doi:10.1093/bioinformatics/btn037
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
24/6/798    most recent
btn037v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Wass, M. N.
Right arrow Articles by Sternberg, M. J.E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Wass, M. N.
Right arrow Articles by Sternberg, M. J.E.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

ConFunc - Functional Annotation in the Twilight Zone

Mark N. Wass * and Michael J.E. Sternberg

Structural Bioinformatics Group, Biochemistry Building, Division of Molecular Biosciences, Imperial College London, Lon-don, SW7 2AZ.

*To whom correspondence should be addressed. Mr. Mark N. Wass, E-mail: mark.wass04{at}imperial.ac.uk


   Abstract

Motivation: The success of genome sequencing has resulted in many protein sequences without functional annotation. We present ConFunc, an automated Gene Ontology (GO) based protein function prediction approach, which uses conserved residues to generate sequence profiles to infer function. ConFunc splits sets of sequences identified by PSI-BLAST into sub-alignments ac-cording to their GO annotations. Conserved residues are identi-fied for each GO term sub-alignment for which a position specific scoring matrix is generated. This combination of steps produces a set of feature (GO annotation) derived profiles from which protein function is predicted.

Results: We assess the ability of ConFunc, BLAST and PSI-BLAST to predict protein function in the twilight zone of sequence similarity. ConFunc significantly outperforms BLAST & PSI-BLAST obtaining levels of recall and precision not obtained by either method and maximum precision 24% greater than BLAST. Further for a large test set of sequences with homologues of low sequence identity, at high levels of presicision, ConFunc obtains recall 6 times greater than BLAST. These results demonstrate the potential for ConFunc to form part of an automated genomics annotation pipe-line.

Availability: http://www.sbg.bio.ic.ac.uk/confunc .

Contact: m.sternberg{at}imperial.ac.uk

Associate Editor: Prof. Dmitrij Frishman


Received on May 22, 2007; revised on October 12, 2007; accepted on January 24, 2008

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.