Artificial neural network model for predicting membrane protein types.
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.
Shanghai Research Centre of Biotechnology, Chinese Academy of Sciences. yac@aber.ac.uk
Y D
YD
Cai
X J
XJ
Liu
K C
KC
Chou
D000465:Algorithms; D008565:Membrane Proteins / Q000737:chemistry* / Q000145:classification; D016571:Neural Networks, Computer; D015203:Reproducibility of Results
D008565:Membrane Proteins