ConoDictor: a tool for prediction of conopeptide superfamilies

ConoDictor is a tool that enables fast and accurate classification of conopeptides into superfamilies based on their amino acid sequence. ConoDictor combines predictions from two complementary approaches—profile hidden Markov models and generalized profiles. Results appear in a browser as tables tha...

Descripción completa

Detalles Bibliográficos
Autores principales: Koua, Dominique, Brauer, Age, Laht, Silja, Kaplinski, Lauris, Favreau, Philippe, Remm, Maido, Lisacek, Frédérique, Stöcklin, Reto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394318/
https://www.ncbi.nlm.nih.gov/pubmed/22661581
http://dx.doi.org/10.1093/nar/gks337
Descripción
Sumario:ConoDictor is a tool that enables fast and accurate classification of conopeptides into superfamilies based on their amino acid sequence. ConoDictor combines predictions from two complementary approaches—profile hidden Markov models and generalized profiles. Results appear in a browser as tables that can be downloaded in various formats. This application is particularly valuable in view of the exponentially increasing number of conopeptides that are being identified. ConoDictor was written in Perl using the common gateway interface module with a php submission page. Sequence matching is performed with hmmsearch from HMMER 3 and ps_scan.pl from the pftools 2.3 package. ConoDictor is freely accessible at http://conco.ebc.ee.

Ejemplares similares