This dataset contains overall 127 proteins, including 58 TMBB proteins and 69 non-TM beta-barrel proteins (used as negative set). These data have been used to train/test BetAware-Deep in cross-validation. We provide all annotations as well as cross-validation splits.
This dataset comprises 15 TMBB proteins used for independent testing and comparison with other approaches.
This dataset comprises 8580 proteins (1009 TMBB and 7571 non-TMBB). The dataset has been originally presented in the following publication:
Tsirigos et al. (2016) PRED-TMBB2: improved topology prediction and detection of beta-barrel outer membrane proteins. Bioinformatics, 32(17), i665-i671.