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Artificial neural network model for predicting membrane protein types.

Y D Cai·X J Liu·K C Chou
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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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AlgorithmsMembrane ProteinsNeural Networks, ComputerReproducibility of ResultsComparative StudyJournal ArticleValidation Study

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BibTeXRIS

Y D Cai, X J Liu, K C Chou. 2001. Artificial neural network model for predicting membrane protein types.. https://doi.org/10.1080/07391102.2001.10506692

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