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ParSeq: searching motifs with structural and biochemical properties
Author(s) -
Martin Schmollinger,
Igor Fischer,
Christiane Nerz,
Simon Pinkenburg,
Fritz Götz,
Michael Kaufmann,
K.-J. Lange,
R. Reuter,
Wolfgang Rosenstiel,
Andreas Zell
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth083
Subject(s) - structural motif , computational biology , motif (music) , computer science , string (physics) , sequence motif , function (biology) , biology , genetics , dna , mathematics , biochemistry , physics , acoustics , mathematical physics
Searches for variable motifs such as protein-binding sites or promoter regions are more complex than the search for casual motifs. For example, in amino acid sequences comparing motifs alone mostly proves to be insufficient to detect regions that represent proteins with a special function, because the function depends on biochemical properties of individual amino acids (such as polarity or hydrophobicity). Pure string matching programs are not able to find these motifs; hence, we developed ParSeq, a program that combines the search for motifs with certain structural properties, the verification of biochemical properties, an approximate search mechanism and a stepwise creation of the motif description by allowing to search on previously obtained results.

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