FISH-Family identification of sequence homologues using structure anchored hidden Markov models
2006 (English)In: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 34, no Web Server issue, W10-W14 p.Article in journal (Refereed) Published
The FISH server is highly accurate in identifying the family membership of domains in a query protein sequence, even in the case of very low sequence identities to known homologues. A performance test using SCOP sequences and an E-value cut-off of 0.1 showed that 99.3% of the top hits are to the correct family saHMM. Matches to a query sequence provide the user not only with an annotation of the identified domains and hence a hint to their function, but also with probable 2D and 3D structures, as well as with pairwise and multiple sequence alignments to homologues with low sequence identity. In addition, the FISH server allows users to upload and search their own protein sequence collection or to quarry public protein sequence data bases with individual saHMMs. The FISH server can be accessed at http://babel.ucmp.umu.se/fish/.
Place, publisher, year, edition, pages
2006. Vol. 34, no Web Server issue, W10-W14 p.
Bioinformatics, databases, protein structure, internet, structure-anchored Hidden Markov Models, saHMM, protein structure alignment, protein structure superimposition, sequence annotation, sequence homology, amino acid, software, FISH-server
Bioinformatics and Systems Biology
IdentifiersURN: urn:nbn:se:umu:diva-13966DOI: 10.1093/nar/gkl330PubMedID: 16844969OAI: oai:DiVA.org:umu-13966DiVA: diva2:153637
Jeanette Hargbo.2007-11-232007-11-232010-05-10Bibliographically approved