Artificial neural network model for predicting membrane protein types.
J Biomol Struct Dyn
; 18(4): 607-10, 2001 Feb.
Article
em En
| MEDLINE
| ID: mdl-11245255
ABSTRACT
Membrane proteins can be classified among the following five types (1) type I membrane protein. (2) type II membrane protein. (3) multipass transmembrane proteins. (4) lipid chain-anchored membrane proteins, and (5) GPI-anchored membrane proteins. T. Kohonen's self-organization model which is a typical neural network is applied for predicting the type of a given membrane protein based on its amino acid composition. As a result, the high rates of self-consistency (94.80%) and cross-validation (77.76%), and stronger fault-tolerant ability were obtained.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Redes Neurais de Computação
/
Proteínas de Membrana
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
J Biomol Struct Dyn
Ano de publicação:
2001
Tipo de documento:
Article