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SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning.

J. Singh, T. Litfin, K. Paliwal, J. Singh, A. Hanumanthappa, and Y. Zhou. Bioinform., 37 (20): 3464-3472 (2021)

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Paul Litfin

Thorsten Litfin

Gerd Litfin

Karsten Litfin

Thomas Thomas

Other publications of authors with the same name

Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning.J. Hanson, K. Paliwal, T. Litfin, Y. Yang, and Y. Zhou. J. Comput. Biol., 27 (5): 796-814 (2020)CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.A. Conte, A. Bouhraoua, M. Mehdiabadi, D. Clementel, A. Monzon, A. Holehouse, D. Griffith, R. Emenecker, A. Patil, R. Sharma and 53 other author(s). Nucleic Acids Res., 51 (W1): 62-69 (July 2023)SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.J. Hanson, K. Paliwal, T. Litfin, and Y. Zhou. Genom. Proteom. Bioinform., 17 (6): 645-656 (2019)Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning.J. Singh, K. Paliwal, T. Zhang, J. Singh, T. Litfin, and Y. Zhou. Bioinform., 37 (17): 2589-2600 (2021)Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.J. Hanson, T. Litfin, K. Paliwal, and Y. Zhou. Bioinform., 36 (4): 1107-1113 (2020)SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning.J. Singh, T. Litfin, K. Paliwal, J. Singh, A. Hanumanthappa, and Y. Zhou. Bioinform., 37 (20): 3464-3472 (2021)Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives.M. Solayman, T. Litfin, J. Singh, K. Paliwal, Y. Zhou, and J. Zhan. Briefings Bioinform., (2022)Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling.J. Singh, K. Paliwal, T. Litfin, J. Singh, and Y. Zhou. Bioinform., 38 (16): 3900-3910 (2022)SPOT-ligand 2: improving structure-based virtual screening by binding-homology search on an expanded structural template library.T. Litfin, Y. Zhou, and Y. Yang. Bioinform., 33 (8): 1238-1240 (2017)Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks.J. Hanson, K. Paliwal, T. Litfin, Y. Yang, and Y. Zhou. Bioinform., 35 (14): 2403-2410 (2019)

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Disambiguation of "Litfin, Thomas"