PRED-TMBB: Prediction of TransMembrane Beta-Barrel Proteins

		A Hidden Markov Model method, capable of predicting and discriminating beta-barrel outer membrane proteins.

Input Instructions
The user may submitt one sequence each time, at the appropriate input text-area. The sequence has to be in FASTA format or plain text, and no unidentified residues (e.g X) are allowed. For the decoding process 3 algorithms are available 1) Viterbi 2) N-best and 3) Posterior decoding with a dynamic programming algorithm. You may choose one or more methods, by checking in the corresponding boxes. Remember that N-best is memory consumable and may slow down your request.

Input Instructions

The user may submitt one sequence each time, at the appropriate input text-area.

The sequence has to be in FASTA format or plain text, and no unidentified residues (e.g X) are allowed.

For the decoding process 3 algorithms are available 1) Viterbi 2) N-best and 3) Posterior decoding with a dynamic programming algorithm.

You may choose one or more methods, by checking in the corresponding boxes. Remember that N-best is memory consumable and may slow down your request.

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PRED-TMBB [Introductory Page]
PRED-TMBB [Input Page]
contact: pbagos

biol.uoa.gr

University of Athens
Faculty of Biology
Dept. of Cell Biology and Biophysics

A Hidden Markov Model method, capable of predicting and discriminating beta-barrel outer membrane proteins.