about
BioJS: an open source standard for biological visualisation - its status in 2014Anatomy of BioJS, an open source community for the life sciencesThe InterPro protein families database: the classification resource after 15 yearsExtending CATH: increasing coverage of the protein structure universe and linking structure with functionThe CATH Domain Structure Database and related resources Gene3D and DHS provide comprehensive domain family information for genome analysisThe history of the CATH structural classification of protein domainsGenome3D: exploiting structure to help users understand their sequencesGenome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domainsFLORA: a novel method to predict protein function from structure in diverse superfamiliesAn expanded evaluation of protein function prediction methods shows an improvement in accuracyUse of structure comparison methods for the refinement of protein structure predictions. I. Identifying the structural family of a protein from low-resolution models.Recognizing the fold of a protein structure.CATH: comprehensive structural and functional annotations for genome sequences.Using CATH-Gene3D to Analyze the Sequence, Structure, and Function of Proteins.CATH: an expanded resource to predict protein function through structure and sequence.Assessing strategies for improved superfamily recognition.Gene3D: Multi-domain annotations for protein sequence and comparative genome analysisGene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis.Exploring the evolution of novel enzyme functions within structurally defined protein superfamilies.The evolution of enzyme function in the isomerases.The CATH protein family database: a resource for structural and functional annotation of genomes.InterPro in 2017-beyond protein family and domain annotations.The CATH domain structure database: new protocols and classification levels give a more comprehensive resource for exploring evolutionThe Gene3D Web Services: a platform for identifying, annotating and comparing structural domains in protein sequences.New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures.MSAViewer: interactive JavaScript visualization of multiple sequence alignments.FunTree: advances in a resource for exploring and contextualising protein function evolutionCATH FunFHMMer web server: protein functional annotations using functional family assignments.An overview of comparative modelling and resources dedicated to large-scale modelling of genome sequences.Functional innovation from changes in protein domains and their combinations.CATH-Gene3D: Generation of the Resource and Its Use in Obtaining Structural and Functional Annotations for Protein Sequences.The Classification of Protein Domains.FunTree: a resource for exploring the functional evolution of structurally defined enzyme superfamilies.Functional classification of CATH superfamilies: a domain-based approach for protein function annotation.The CATH hierarchy revisited-structural divergence in domain superfamilies and the continuity of fold space.The CATH classification revisited--architectures reviewed and new ways to characterize structural divergence in superfamilies.Gene3D: Extensive prediction of globular domains in proteins.Gene3D: Extensive prediction of globular domains in proteins.Understanding enzyme function evolution from a computational perspective.InterPro in 2019: improving coverage, classification and access to protein sequence annotations
P50
Q23762730-567FA7EC-E416-49EB-AAE2-10E8212BEDB8Q23762786-FDCED461-C718-44DB-9844-ADD1BECBA1BDQ24465922-F9BE7FD1-EBC3-4B4F-AE85-6E0555D388AFQ24616969-8F8CFB93-CA95-45B5-820E-B7E31924F1DCQ24793553-33110408-5F28-412F-AD75-6BFE7C4F604DQ26801005-67989109-8ED0-465C-9076-4CED408E8A75Q28250408-202A24B7-487F-4C16-9933-11235F8BB89DQ28280482-9577F5F3-56A9-4B0A-844E-03B0FA6A2FF5Q28475932-9DD00F5C-42C7-4730-802F-C7F81D64A04FQ28596092-DB1AF4CA-4490-4612-A8BC-549CC2102859Q30329265-793D3440-D10A-4921-9C26-D9F8D56C237FQ30336103-63C5624F-CECF-4FF6-80C5-572D40058ECEQ30368174-4F84B7EF-1CD6-4365-A3D8-EEDC1686F4DBQ30375817-DAD4A422-7DE7-4EB1-999A-5E2EF759B066Q30395794-F57D4AA5-3C2B-40F4-B6D3-2D822E80D479Q33216491-04470D5D-21C9-4DBC-9127-707006EDE105Q34039066-86D44D07-FB9A-401F-8236-9D9B76B98485Q34090597-42C4D951-35C8-484E-95F1-E1172A64D791Q34186907-7E0C1429-4A84-476D-8C0B-7465278877BCQ34428173-1F1C3780-D9FE-4659-A6DF-42C89212193BQ34491816-23AC7926-E762-4A77-8B18-BDACA0C061FAQ34546171-1D088046-BE6C-45AC-9104-9AB23EA32974Q34585750-4BB9FF59-8E65-4428-8351-40B72A3454FAQ35075698-CAE1A184-30BC-426B-9BA3-736FAD73786CQ36491328-3AF27B8C-CA30-46C6-BE9D-42D46BFEC3C4Q37530001-C44B8E27-763A-47A5-B69A-C147C4F81E84Q38399577-8EA97B0B-06D1-4F0D-87FD-C2902CCA5D5CQ38463316-FBB906A9-5F53-42EE-AFD9-869F26D47DDFQ38641230-04C8349E-D449-47CF-876E-C3EF61BC9D42Q38866874-AA2B9A07-7CCF-4C36-9B95-DDD84F992F31Q38985077-A11B2445-9A54-4F5D-9E0F-9D70DB05D677Q39146480-49794317-B2C2-4BB8-B392-5C533310EDD9Q39972177-269C78FC-4D7F-4818-ABBD-D950AE67A021Q40771581-8026A353-AB0B-402C-B4C5-974B0DB378E4Q42551770-5F5BE954-1B37-4553-98B1-92F7FD24827EQ42875582-34ABD045-F7A2-4167-9B86-9F2404A9D7CCQ47101228-00BEE03D-F399-4BE5-B947-213490841186Q47151837-92585F06-A652-416F-B492-00FA102B0F69Q47565364-D94F60DC-4190-4B4D-899B-1CD48C4B5CF1Q58414390-BFCA5DD0-7700-41D5-AECA-C6941C36EB0B
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Ian Sillitoe
@ast
Ian Sillitoe
@en
Ian Sillitoe
@es
Ian Sillitoe
@nl
Ian Sillitoe
@sl
type
label
Ian Sillitoe
@ast
Ian Sillitoe
@en
Ian Sillitoe
@es
Ian Sillitoe
@nl
Ian Sillitoe
@sl
prefLabel
Ian Sillitoe
@ast
Ian Sillitoe
@en
Ian Sillitoe
@es
Ian Sillitoe
@nl
Ian Sillitoe
@sl