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| index [2017/10/16 15:33] – Added FunFams, SSGs, superpositions sayoni | index [2024/11/26 14:54] (current) – [Expansion in CATH structural data from AlphaFold Database] sillitoe | ||
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| ===== How is CATH-Gene3D created? ===== | ===== How is CATH-Gene3D created? ===== | ||
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| - | === CATH === | ||
| Experimentally-determined protein three-dimensional structures are obtained from | Experimentally-determined protein three-dimensional structures are obtained from | ||
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| is used; assignments are made to the [[glossary: | is used; assignments are made to the [[glossary: | ||
| homologous. To browse the classification hierarchy, see [[http:// | homologous. To browse the classification hierarchy, see [[http:// | ||
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| - | === Gene3D === | ||
| Additional sequence data for domains with no experimentally determined | Additional sequence data for domains with no experimentally determined | ||
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| Ensembl are scanned against CATH HMMs to predict domain sequence boundaries and | Ensembl are scanned against CATH HMMs to predict domain sequence boundaries and | ||
| make homologous superfamily assignments. | make homologous superfamily assignments. | ||
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| + | == Recognition as a Global Core BioData Resource == | ||
| + | CATH has been recognized as a Global Core BioData Resource (GCBR) by the Global Biodata Consortium. This endorsement reflects the database' | ||
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| + | ===== Expansion in CATH structural data from AlphaFold Database ===== | ||
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| + | We are pleased to announce the release of CATH v4.4 (October 2024 ; https:// | ||
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| + | == Integration of domains from The Encyclopedia of Domains (TED) == | ||
| + | CATH v4.4 incorporates approximately ~600.000 newly classified domain structures from the Protein Data Bank (PDB) and maps over 90 million predicted domain structures from the Encyclopedia of Domains (TED) resource into CATH superfamilies—a joint effort between the Jones group (UCL Computer Science) and the Orengo group (UCL Structural and Molecular Biology). This integration has resulted in a 180-fold increase in structural information for CATH superfamilies. | ||
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| + | The inclusion of TED data has expanded the number of superfamilies from 5,841 to 6,573, folds from 1,349 to 2,081, and architectures from 41 to 77. It is important to note that the TED data comprises predicted structures, and these new folds and architectures remain hypothetical until experimentally confirmed. | ||
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| + | Advancements in Domain Segmentation and Classification: | ||
| + | To manage the substantial volume of data from AlphaFold Protein Structure Database, our automated domain segmentation workflow has been enhanced. We have integrated a faster and more accurate in-house deep-learning approach called Chainsaw, along with the publicly available methods Merizo and UniDoc. For homologue detection and verification, | ||
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| + | Expansion of Functional Families (FunFams): | ||
| + | Within superfamilies, | ||
| + | This expansion enhances our ability to analyze conserved residues within protein families and to identify putative functional sites, contributing to a deeper understanding of protein function and evolution. | ||
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| + | Identification of Novel Folds and Architectures: | ||
| + | Analysis of TED data has led to the identification of 479 new folds and 34 new architectures, | ||
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| + | Future Directions: | ||
| + | The extensive data integrated into CATH v4.4 presents opportunities for further exploration of protein structures and evolutionary relationships. Ongoing efforts will focus on refining algorithms and workflows to improve domain boundary assignments, | ||
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| ===== CATH Releases ===== | ===== CATH Releases ===== | ||
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| If you have any comments/ | If you have any comments/ | ||
| - | http:// | + | https:// |