RPBS (Ressource Parisienne en Bioinformatique Structurale) is a resource dedicated primarily to structural bioinformatics. It is the result of a joint effort by several teams to set up an interface that offers original and powerful methods in the field. As an illustration, we focus here on three such methods uniquely available at RPBS: AUTOMAT for sequence databank scanning, YAKUSA for structure databank scanning and WLOOP for homology loop modelling.
View Article and Find Full Text PDFDatabase scanning programs such as BLAST and FASTA are used nowadays by most biologists for the post-genomic processing of DNA or protein sequence information (in particular to retrieve the structure/function of uncharacterized proteins). Unfortunately, their results can be polluted by identical alignments (called redundancies) coming from the same protein or DNA sequences present in different entries of the database. This makes the efficient use of the listed alignments difficult.
View Article and Find Full Text PDFComput Appl Biosci
June 1995
Since the early 1980s, protein/DNA sequence similarity search has become of major importance to biologists, and the need for fast and efficient tools grows with the size of databanks. Two programs use the strategy of finite state deterministic automatons to accomplish these searches. One of these two is BLAST, which is now widely used, and the other Automat, which has just been published.
View Article and Find Full Text PDFAutomat is a novel program which finds exhaustively all the oligopeptide segments shared by a given protein of any size with the proteins of a whole databank. It allows the user to collect statistics on the composition of the sequence studied in reference to the databank used. We present here the rationale and the algorithm underlying this powerful software.
View Article and Find Full Text PDFWe have designed an efficient algorithm in order to detect systematically all the oligopeptides shared by a given protein with all the protein sequences in a databank. This software, Automat, also makes statistics on the number of shared oligopeptides. In the present study, we apply Automat on HIV-1 proteins to detect putative critical sites and to identify candidate viral antigens that may trigger autoimmune disorders.
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