DocumentCode
2582983
Title
Suboptimal alignments improve the detection of weak homologs in sequence database searches
Author
Li, Yuheng ; Lauria, Mario ; Bundschuh, Ralf
Author_Institution
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
fYear
2005
fDate
19-21 Oct. 2005
Firstpage
153
Lastpage
160
Abstract
PSI-BLAST remains one of the popular tools for searching remote homologs in sequence databases. We recently demonstrated that hybrid alignment can function as the alignment core for PSI-BLAST without loss of sensitivity. Here, we start to exploit the benefits of hybrid alignment. We show that incorporating information about the suboptimal alignments, otherwise ignored in PSI-BLAST, already improves the sensitivity of our enhanced version of PSI-BLAST. More interestingly, we find a set of sequences on which our tool disagrees with the classification given by SCOP. Careful examination points to a possible misclassification in SCOP. Cross-referencing with two other methods of protein structure classification, CATH and DALI, supports this view, indicating that the enriched information from suboptimal alignments is valuable for detecting more weakly homologous sequences.
Keywords
biology computing; molecular biophysics; molecular configurations; proteins; CATH; DALI; PSI-BLAST; SCOP misclassification; hybrid alignment; protein structure classification; sequence database searches; suboptimal alignments; weak homolog detection; Bioinformatics; Computer science; Data engineering; Databases; Genomics; History; Iterative algorithms; Physics; Proteins; Research and development; PSI-BLAST; forward-backward algorithm; hybrid algorithm; sequence alignment; suboptimal alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering, 2005. BIBE 2005. Fifth IEEE Symposium on
Print_ISBN
0-7695-2476-1
Type
conf
DOI
10.1109/BIBE.2005.54
Filename
1544461
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