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CATH: an expanded resource to predict protein function through structure and sequence.

, , , , , , , and . Nucleic Acids Res., 45 (Database-Issue): D289-D295 (2017)

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CATH: comprehensive structural and functional annotations for genome sequences., , , , , , , , , and 4 other author(s). Nucleic Acids Res., 43 (Database-Issue): 376-381 (2015)Protein Structure Classification., , , and . Encyclopedia of Bioinformatics and Computational Biology (2), Elsevier, (2019)Gene3D: expanding the utility of domain assignments., , , , , , , , and . Nucleic Acids Res., 44 (Database-Issue): 404-409 (2016)CATH: an expanded resource to predict protein function through structure and sequence., , , , , , , and . Nucleic Acids Res., 45 (Database-Issue): D289-D295 (2017)Systematic indication extension for drugs using patient stratification insights generated by combinatorial analytics., , , and . Patterns, 3 (6): 100496 (2022)Gene3D: Multi-domain annotations for protein sequence and comparative genome analysis., , , , , , , , , and . Nucleic Acids Res., 42 (Database-Issue): 240-245 (2014)Novel Computational Protocols for Functionally Classifying and Characterising Serine Beta-Lactamases., , , , , and . PLoS Comput. Biol., (2016)CATH: expanding the horizons of structure-based functional annotations for genome sequences., , , , , , , , , and 4 other author(s). Nucleic Acids Res., 47 (Database-Issue): D280-D284 (2019)Functional classification of CATH superfamilies: a domain-based approach for protein function annotation., , , , , and . Bioinform., 32 (18): 2889 (2016)CATH functional families predict functional sites in proteins., , , and . Bioinform., 37 (8): 1099-1106 (2021)