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primary topic: Prediction of beta-turns in proteins from multiple alignment using neural network.

Prediction of beta-turns in proteins from multiple alignment using neural network.
type: AcademicArticle
type: Article
abstract: A neural network-based method has been developed for the prediction of beta-turns in proteins by using multiple sequence alignment. Two feed-forward back-propagation networks with a single hidden layer are used where the first-sequence structure network is trained with the multiple sequence alignment in the form of PSI-BLAST-generated position-specific scoring matrices. The initial predictions from the first network and PSIPRED-predicted secondary structure are used as input to the second structure-structure network to refine the predictions obtained from the first net. A significant improvement in prediction accuracy has been achieved by using evolutionary information contained in the multiple sequence alignment. The final network yields an overall prediction accuracy of 75.5% when tested by sevenfold cross-validation on a set of 426 nonhomologous protein chains. The corresponding Q(pred), Q(obs), and Matthews correlation coefficient values are 49.8%, 72.3%, and 0.43, respectively, and are the best among all the previously published beta-turn prediction methods. The Web server BetaTPred2 (http://www.imtech.res.in/raghava/betatpred2/) has been developed based on this approach.
date: 2003-03
volume: 12
issue: 3
is part of: Protein science : a publication of the Protein Society
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: Prediction of beta-turns in proteins from multiple alignment using neural network. (PDF)
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subject: QR Microbiology

Prediction of beta-turns in proteins from multiple alignment using neural network. (PDF)
type: Document

Wiley
type: Organization

Protein science : a publication of the Protein Society
type: Collection
issn: 09618368

G.P.S. Raghava
type: Person
given name: G.P.S.
family name: Raghava

Harpreet Kaur
type: Person
given name: Harpreet
family name: Kaur

Prediction of beta-turns in proteins from multiple alignment using neural network. (Image (PNG))
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Prediction of beta-turns in proteins from multiple alignment using neural network. (Image (PNG))
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Prediction of beta-turns in proteins from multiple alignment using neural network. (Image (PNG))
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Prediction of beta-turns in proteins from multiple alignment using neural network. (Image (PNG))
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Prediction of beta-turns in proteins from multiple alignment using neural network. (Indexer Terms)
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primary topic: Prediction of beta-turns in proteins from multiple alignment using neural network.

QR Microbiology
type: Concept