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Mining folded proteomes in the era of accurate structure prediction., and . PLoS Comput. Biol., (2022)Predicting giant transmembrane β-barrel architecture., , , and . Bioinform., 28 (10): 1299-1302 (2012)Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning., , , , , , , and . AMIA, AMIA, (2020)Cascleave: towards more accurate prediction of caspase substrate cleavage sites., , , , , , , and . Bioinform., 26 (6): 752-760 (2010)PoPS: A Computational Tool for Modeling and Predicting Protease Specificity., , , , and . CSB, page 372-381. IEEE Computer Society, (2004)GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome., , , , , , and . Bioinform., 31 (9): 1411-1419 (2015)eResearch Solutions for High Throughput Structural Biology., , , , , , , , , and 2 other author(s). eScience, page 221-227. IEEE Computer Society, (2007)Automatic generation of protein structure cartoons with Pro-origami., , , , and . Bioinform., 27 (23): 3315-3316 (2011)High-throughput protein structure determination using grid computing., , , , , , , , , and 3 other author(s). IPDPS, page 1-8. IEEE, (2009)PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy., , , , , and . PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 384-395. Springer, (2020)