Predicting transmembrane beta-barrels in proteomes.

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Modeling aspects of the language of life through transfer-learning protein sequences (2019, methodology): “The idea was applied to other tasks, including the prediction of transmembrane regions [11 – 13], solvent accessibility [14], residue flexibility (B-values) [15, 16], inter-residue contacts [17] and protein disorder [15, 18 – 20].”
Modeling the language of life – Deep Learning Protein Sequences (2019, background): “Other objectives that used the same idea included the prediction of transmembrane regions [11-13], solvent accessibility [14], residue flexibility (B-values) [15, 16], inter-residue contacts [17] and protein disorder [15, 18-20].”
Vaxign: The First Web-Based Vaccine Design Program for Reverse Vaccinology and Applications for Vaccine Development (2010, background): “These proteins were predicted to be antigenic and therefore may represent the most suitable vaccine candidates.”
Protein and DNA Sequence Determinants of Thermophilic Adaptation (2006, methodology): “Next, we used the ProfTMB [23] server to identify transmembrane b-barrel proteins in the proteomes of 29 organisms uniformly covering the temperature scale (see Table S3).”