401. An algorithm to classify amino acid sequences into protein groups of Bothrops jararacussu venomous gland.
- Author
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Giuliatti S, Faria M Jr, Camargo F, Camargo LP, Franca SC, and Soares AM
- Subjects
- Amino Acid Sequence, Animals, Automation, Exocrine Glands, Molecular Sequence Data, Algorithms, Bothrops, Computational Biology methods, Crotalid Venoms chemistry, Databases, Protein
- Abstract
An algorithm for automatic clustering of database protein sequences from Bothrops jararacussu venomous gland, according to sequence similarities of their domains, is described. The program was written in C and Perl languages. This algorithm compares a domain with each ORF protein sequence in the database. Each nucleotide FASTA sequence generates six ORFs. As a result, the user has a list containing all sequences found in a specific domain and a display of the sequence, domain and number of hits. The algorithm lists only the sequences that present a minimum similarity of 30 hits and the best alignment. This limit was considered appropriate. The algorithm is available in the Internet (www.compbionet.org.br/cgi-domains/homesnake) and it can quickly and accurately organizes large database into classes.
- Published
- 2005
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