Welcome to the BetAware TMBB prediction server
BetAware is a web server for TransMembrane β-Barrel (TMBB) detection and topology prediction. Both prediction steps are based on advanced machine-learning methods. For TMBB detection, BetAware exploits a new machine learning approach based on N-to-1 Extreme Learning Machines, while TMBB topology prediction is carried-out using a probabilistic model based on Grammatical-Restrained Hidden Conditional Random Fields, a discriminative framework introduced to address sequence labelling tasks in Bioinformatics..
For details see:
- Savojardo C., Fariselli P., Casadio R., "BETAWARE: a machine-learning tool to detect and predict trans-membrane β-barrel proteins in Prokaryotes", Bioinformatics (2013) 29(4): 504-505.
- Savojardo C., Fariselli P., Casadio R., "Improving the detection of transmembrane β-barrel chains with N-to-1 Extreme Learning Machines", Bioinformatics (2011) 27 (22): 3123-3128.
- Fariselli P., Savojardo C., Martelli P.L., Casadio R., "Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics Applications", Algorithms for Molecular Biology 2009, 4:13.
Submit a sequence
To start using BetAware you simply need to paste a FASTA sequence in the text area below and press the "Start prediciton" button. The server accepts a single FASTA sequence, at least 30 residue long.
Fill with a test sequenceRetrieve your job results
Prediction results of previously executed jobs are available for a limited amount time (1 month) and can be retrieved by the user. Please, paste the job id you received at submission time (e.g. 154f0677-b6cf-45c9-b945-a7e25ff32958) in the field below and press "Search job" to retrieve the results.