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ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning.

, , , , , , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (10): 7112-7127 (2022)

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Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling., , , , , , and . CoRR, (2023)ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing., , , , , , , , , and 2 other author(s). CoRR, (2020)HeatMapViewer: interactive display of 2D data in biology., , , , and . F1000Research, (2014)Modeling aspects of the language of life through transfer-learning protein sequences., , , , , , and . BMC Bioinform., 20 (1): 723 (2019)Variant effect predictions capture some aspects of deep mutational scanning experiments., , and . BMC Bioinform., 21 (1): 107 (2020)Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)., , , , , , , , , and 12 other author(s). PLoS Comput. Biol., 18 (10): 1010633 (October 2022)Analysing Six Types of Protein–Protein Interfaces, and . Journal of Molecular Biology, 325 (2): 377 - 387 (2003)ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning., , , , , , , , , and 2 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 44 (10): 7112-7127 (2022)Structure and activity of tryptophan-rich TSPO proteins, , , , , , , , and . Science, 347 (6221): 551-555 (January 2015)FunFam protein families improve residue level molecular function prediction., , , and . BMC Bioinform., 20 (1): 400:1-400:9 (2019)