NRPSsp: non-ribosomal peptide synthase substrate predictor
Author(s) -
Carlos Alberto Vanegas Prieto,
Carlos GarcíaEstrada,
Diego Lorenzana,
Juan F. Martı́n
Publication year - 2011
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/btr659
Subject(s) - ribosomal rna , substrate (aquarium) , atp synthase , peptide , chemistry , biochemistry , computational biology , computer science , biology , enzyme , ecology , gene
Non-ribosomal peptide synthetases (NRPSs) are multi-modular enzymes, which biosynthesize many important peptide compounds produced by bacteria and fungi. Some studies have revealed that an individual domain within the NRPSs shows significant substrate selectivity. The discovery and characterization of non-ribosomal peptides are of great interest for the biotechnological industries. We have applied computational mining methods in order to build a database of NRPSs modules that bind to specific substrates. We have used this database to build a hidden Markov model predictor of substrates that bind to a given NRPS.
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