Database of patterns PROF_PAT, used to detect local similarities

Resume Motivation: When analysing novel protein sequences, it is now essential to extend search strategies to include a range of 'secondary' databases. Pattern databases have become vital tools for identifying distant relationships in sequences, and hence for predicting protein function and structure. The main drawback of such methods is the relatively small representation of proteins in trial samples at the time of their construction. Therefore a negative result of an amino acid sequence comparison with such a databank forces a researcher to search for similarities in the original protein banks. We developed a database of patterns constructed for groups of related proteins with maximum representation of amino acid sequences of SWISS-PROT in the groups. Results: Software tools and a new method have been designed to construct patterns of protein families. By using such method, a databank of protein family patterns, PROF_PAT, is produced. This bank is based on SWISS-PROT (rl.38) and TrEMBL (rl.11), and contains patterns of more than 14,000 groups of related proteins in a format similar to that of the PROSITE. Motifs of patterns, which had the minimum level of probability to be found in random sequences, were selected. Flexible fast search program accompanies the bank. The researcher can specify a similarity matrix (the type PAM (PAM, BLOSUM and other). Variable levels of similarity can be set (permitting search strategies ranging from exact matches to increasing levels of "fuzziness").