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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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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)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)Modeling aspects of the language of life through transfer-learning protein sequences., , , , , , and . BMC Bioinform., 20 (1): 723 (2019)Mutations in transmembrane proteins: diseases, evolutionary insights, prediction and comparison with globular proteins., , , , , , , , , and . Briefings Bioinform., (2021)CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models., , , , , , , , and . Bioinform., (January 2023)PredictProtein - Predicting Protein Structure and Function for 29 Years., , , , , , , , , and 18 other author(s). Nucleic Acids Res., 49 (Webserver-Issue): 535-540 (2021)Nearest neighbor search on embeddings rapidly identifies distant protein relations., , , and . Frontiers Bioinform., (2022)SETH predicts nuances of residue disorder from protein embeddings., , and . Frontiers Bioinform., (2022)CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins., , , , , , , , , and 53 other author(s). Nucleic Acids Res., 51 (W1): 62-69 (July 2023)Clustering FunFams using sequence embeddings improves EC purity., , , , , , and . Bioinform., 37 (20): 3449-3455 (2021)