J 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

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
Name: ELIXIR-CZ: Budování kapacit
90131, large research infrastructures
Name: ELIXIR-CZ II