Neural networks predict protein structure and function.

TitleNeural networks predict protein structure and function.
Publication TypeJournal Article
Year of Publication2008
AuthorsPunta, M, Rost, B
JournalMethods Mol Biol
Volume458
Pagination203-30
Date Published2008
ISSN1064-3745
KeywordsAlgorithms, Animals, Artificial Intelligence, Crystallography, X-Ray, Databases, Genetic, Databases, Protein, Humans, Magnetic Resonance Spectroscopy, Models, Theoretical, Nerve Net, Neural Networks (Computer), Protein Conformation, Protein Structure, Secondary, Proteins, Structure-Activity Relationship
Abstract

Both supervised and unsupervised neural networks have been applied to the prediction of protein structure and function. Here, we focus on feedforward neural networks and describe how these learning machines can be applied to protein prediction. We discuss how to select an appropriate data set, how to choose and encode protein features into the neural network input, and how to assess the predictor's performance.
Alternate JournalMethods Mol. Biol.
PubMed ID19065812
Grant ListU54-GM072980 / GM / NIGMS NIH HHS / United States