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 ORCID; Radka SVOBODOVÁ; 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
EID Scopus
2-s2.0-85099427458
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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