ScanProsite--http://www.expasy.org/tools/scanprosite/--is a new and improved version of the web-based tool for detecting PROSITE signature matches in protein sequences. For a number of PROSITE profiles, the tool now makes use of ProRules--context-dependent annotation templates--to detect functional and structural intra-domain residues. The detection of those features enhances the power of funct...

PROSITE [Bairoch and Bucher (1994) Nucleic Acids Res., 22, 3583-3589; Hofmann et al. (1999) Nucleic Acids Res., 27, 215-219] is a method of identifying the functions of uncharacterized proteins translated from genomic or cDNA sequences. The PROSITE database (http://www.expasy.org/prosite/) consists of biologically significant patterns and profiles designed in such a way that with appropriate co...

MOTIVATION Increase the discriminatory power of PROSITE profiles to facilitate function determination and provide biologically relevant information about domains detected by profiles for the annotation of proteins. SUMMARY We have created a new database, ProRule, which contains additional information about PROSITE profiles. ProRule contains notably the position of structurally and/or function...

Methods for collecting related segments from the protein sequence database using strongly conserved peptide words as well as sequence homology was applied to the problem of reconstruction of PROSITE catalog [1] from the sequence database. In many case our results were well consistent with PROSITE although some additional relationships were also found.

This paper presents an approach to detection of protein structural motifs. In our approach, first all protein backbone conformations are converted into character strings using an encoding scheme. Then we use the Smith-Waterman local alignment algorithm to detect common structural motifs. By comparing results with the PROSITE regular expression patterns, our method can detect several motifs whic...

The PROSITE database (http://www.expasy.ch/sprot/prosite.htm l) consists of biologically significant patterns and profiles formulated in such a way that with appropriate computational tools it can help to determine to which known family of protein (if any) a new sequence belongs, or which known domain(s) it contains.

The PROSITE database consists of biologically significant patterns and profiles formulated in such a way that with appropriate computational tools it can help to determine to which known family of protein (if any) a new sequence belongs, or which known domain(s) it contains.