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Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks., , , and . ISMB, page 25-36. AAAI, (2000)Improved prediction of the number of residue contacts in proteins by recurrent neural networks., , , and . ISMB (Supplement of Bioinformatics), page 234-242. (2001)Machine Learning Approaches for Contact Maps Prediction in CASP9 Experiment., , and . SEBD, page 311-317. (2011)Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins., , , , , and . BMC Bioinform., (2006)Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints., , and . PRIB, volume 5780 of Lecture Notes in Computer Science, page 391-403. Springer, (2009)Protein β-Sheet Partner Prediction by Neural Networks., , , and . ANNIMAB, page 3-9. Springer, (2000)On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways., , , , and . EvoBIO, volume 4973 of Lecture Notes in Computer Science, page 200-211. Springer, (2008)G-quadruplex Structure Prediction and integration in the GenData2020 data model., , , , , , and . BCB, page 663-670. ACM, (2016)Bidirectional Dynamics for Protein Secondary Structure Prediction., , , , and . Sequence Learning, volume 1828 of Lecture Notes in Computer Science, page 80-104. Springer, (2001)Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines., , , and . Nucleic Acids Res., 34 (Web-Server-Issue): 164-168 (2006)