DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classification.
Nucleic Acids Res
; 34(Web Server issue): W182-5, 2006 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-16844987
ABSTRACT
DiANNA is a recent state-of-the-art artificial neural network and web server, which determines the cysteine oxidation state and disulfide connectivity of a protein, given only its amino acid sequence. Version 1.0 of DiANNA uses a feed-forward neural network to determine which cysteines are involved in a disulfide bond, and employs a novel architecture neural network to predict which half-cystines are covalently bound to which other half-cystines. In version 1.1 of DiANNA, described here, we extend functionality by applying a support vector machine with spectrum kernel for the cysteine classification problem-to determine whether a cysteine is reduced (free in sulfhydryl state), half-cystine (involved in a disulfide bond) or bound to a metallic ligand. In the latter case, DiANNA predicts the ligand among iron, zinc, cadmium and carbon. Available at http//bioinformatics.bc.edu/clotelab/DiANNA/.
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1
Coleções:
01-internacional
Temas:
Geral
Base de dados:
MEDLINE
Assunto principal:
Software
/
Inteligência Artificial
/
Proteínas
/
Cisteína
Idioma:
En
Revista:
Nucleic Acids Res
Ano de publicação:
2006
Tipo de documento:
Article
País de afiliação:
Estados Unidos