2021
CATH: increased structural coverage of functional space
SILLITOE, Ian, Nicola BORDIN, Natalie DAWSON, Vaishali P. WAMAN, Paul ASHFORD et. al.Základní údaje
Originální název
CATH: increased structural coverage of functional space
Autoři
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 Česká republika, domácí), Radka SVOBODOVÁ (203 Česká republika, garant, domácí), Jon LEES a Christine A. ORENGO
Vydání
Nucleic Acids Research, Oxford, Oxford University Press, 2021, 0305-1048
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10608 Biochemistry and molecular biology
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 19.160
Kód RIV
RIV/00216224:14740/21:00120994
Organizační jednotka
Středoevropský technologický institut
UT WoS
000608437800035
Klíčová slova anglicky
protein structures; CATH
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 31. 10. 2024 08:36, Ing. Monika Szurmanová, Ph.D.
Anotace
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.
Návaznosti
EF16_013/0001777, projekt VaV |
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90131, velká výzkumná infrastruktura |
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