Prediction of protein secondary structure by an enhanced neural network

M Vieth; A Koliński

Prediction of protein secondary structure by an enhanced neural network

Acta Biochim Pol. 1991;38(3):335-51.

Authors

M Vieth¹, A Koliński

Affiliation

¹ Department of Chemistry, University of Warsaw, Poland.

PMID: 1799113

Abstract

Computational model of neural network is used for prediction of secondary structure of globular proteins of known sequence. In contrast to earlier works some information about expected tertiary interactions were built in into the neural network. As a result the prediction accuracy was improved by 3% to 5%. Possible applications of this new approach are briefly discussed.

MeSH terms

Amino Acid Sequence
Molecular Sequence Data
Neural Networks, Computer*
Protein Conformation*