BetaTPred2: Prediction of Beta-turns in Proteins using Neural Networks and Multiple Alignment

BetaTPred2

:: DESCRIPTION

The aim of BetaTPred2 server is to predict Beta turns in proteins from multiple alignment by using neural network from the given amino acid sequence. For ? turn prediction, it uses the position specific score matrices generated by PSI-BLAST and secondary structure predicted by PSIPRED. The net is trained and tested on a set of 426 non-homologous protein chains with 7-fold cross-validation. It predicts ? turns in proteins with residue accuracy of 75.5% and MCC value of 0.43.

::DEVELOPER

BetaTPred2 team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Kaur, H. and Raghava, G.P.S.
Prediction of beta-turns in proteins from multiple alignment using neural network.
Protein Science 2003 12: 627-634

BetaTPred – Predict Beta Turns in Proteins using Existing Statistical methods

BetaTPred

:: DESCRIPTION

The server BetaTPredis developed for predicting Beta-turns in a protein from the amino acid sequence.

::DEVELOPER

BetaTPred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Kaur, H. and Raghava, G.P.S. (2002)
BetaTpred:Prediction of beta-turns in a protein using statistical algorithms.
Bioinformatics 18:498-9