Detailed Information on Publication Record
2021
CATH: increased structural coverage of functional space
SILLITOE, Ian, Nicola BORDIN, Natalie DAWSON, Vaishali P. WAMAN, Paul ASHFORD et. al.Basic information
Original name
CATH: increased structural coverage of functional space
Authors
SILLITOE, Ian, Nicola BORDIN, Natalie DAWSON, Vaishali P. WAMAN, Paul ASHFORD, Harry M. SCHOLES, Camilla S.M. PANG, Laurel WOODRIDGE, Clemens RAUER, Neeladri SEN, Mahnaz ABBASIAN, Sean LE CORNU, Su Datt LAM, Karel BERKA, Ivana HUTAŘOVÁ VAŘEKOVÁ (203 Czech Republic, belonging to the institution), Radka SVOBODOVÁ (203 Czech Republic, guarantor, belonging to the institution), Jon LEES and Christine A. ORENGO
Edition
Nucleic Acids Research, Oxford, Oxford University Press, 2021, 0305-1048
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10608 Biochemistry and molecular biology
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 19.160
RIV identification code
RIV/00216224:14740/21:00120994
Organization unit
Central European Institute of Technology
UT WoS
000608437800035
Keywords in English
protein structures; CATH
Tags
Tags
International impact, Reviewed
Změněno: 31/10/2024 08:36, Ing. Monika Szurmanová, Ph.D.
Abstract
V originále
CATH (https://www.cathdb.info) identifies domains in protein structures from wwPDB and classifies these into evolutionary superfamilies, thereby providing structural and functional annotations. There are two levels: CATH-B, a daily snapshot of the latest domain structures and superfamily assignments, and CATH+, with additional derived data, such as predicted sequence domains, and functionally coherent sequence subsets (Functional Families or FunFams). The latest CATH+ release, version 4.3, significantly increases coverage of structural and sequence data, with an addition of 65,351 fully-classified domains structures (+15%), providing 500 238 structural domains, and 151 million predicted sequence domains (+59%) assigned to 5481 superfamilies. The FunFam generation pipeline has been re-engineered to cope with the increased influx of data. Three times more sequences are captured in FunFams, with a concomitant increase in functional purity, information content and structural coverage. FunFam expansion increases the structural annotations provided for experimental GO terms (+59%). We also present CATH-FunVar web-pages displaying variations in protein sequences and their proximity to known or predicted functional sites. We present two case studies (1) putative cancer drivers and (2) SARS-CoV-2 proteins. Finally, we have improved links to and from CATH including SCOP, InterPro, Aquaria and 2DProt.
Links
EF16_013/0001777, research and development project |
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90131, large research infrastructures |
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