DOUTfinder--identification of distant domain outliers using subsignificant sequence similarity
Author(s) -
Maria Novatchkova,
G. Schneider,
Richard R. Fritz,
Frank Eisenhaber,
Alexander Schleiffer
Publication year - 2006
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkl332
Subject(s) - biology , similarity (geometry) , computational biology , sequence (biology) , identification (biology) , outlier , domain (mathematical analysis) , sequence alignment , genetics , evolutionary biology , pattern recognition (psychology) , peptide sequence , artificial intelligence , gene , computer science , mathematics , mathematical analysis , image (mathematics) , botany
DOUTfinder is a web-based tool facilitating protein domain detection among related protein sequences in the twilight zone of sequence similarity. The sequence set required for this analysis can be provided by the user or will be collected using PSI-BLAST if a single sequence is given as an input. The obtained sequence family is analyzed for known Pfam and SMART domains, and the thereby identified subsignificant domain similarities are evaluated further. Domains with several subthreshold hits in the query set are ranked based on a sum-score function and likely homologous domains are suggested according to established cut-offs. By providing a post-filtering procedure for subsignificant domain hits DOUTfinder allows the detection of non-trivial domain relationships and can thereby lead to new insights into the function and evolution of distantly related sequence families. DOUTfinder is available at http://mendel.imp.ac.at/dout/.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom