CATH database

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The CATH Protein Structure Classification database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It was created in the mid-1990s by Professor Christine Orengo and colleagues including Janet Thornton and David Jones,[2] and continues to be developed by the Orengo group at University College London. CATH shares many broad features with the SCOP resource, however there are also many areas in which the detailed classification differs greatly.[3][4][5][6]

DescriptionProtein Structure Classification
LaboratoryInstitute of Structural and Molecular Biology
Primary citationDawson et al. (2016) [1]
Quick facts Content, Description ...
CATH
Content
DescriptionProtein Structure Classification
Contact
Research centerUniversity College London
LaboratoryInstitute of Structural and Molecular Biology
Primary citationDawson et al. (2016) [1]
Release date1997
Access
Websitecathdb.info
Download URLcathdb.info/download
Miscellaneous
Data release
frequency
CATH-B is released daily. Official releases are approximately annual.
Version4.3
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Schematic representation of the three top levels of the CATH classification scheme.[2]

Hierarchical organization

Experimentally determined protein three-dimensional structures are obtained from the Protein Data Bank (PDB) and split into their consecutive polypeptide chains, where applicable. Protein domains are identified ("chopped") within these chains using a mixture of automatic methods and manual curation.[7]

The domains are then classified within the CATH structural hierarchy: at the Class (C) level, domains are assigned according to their secondary structure content, i.e. all alpha, all beta, a mixture of alpha and beta, or little secondary structure; at the Architecture (A) level, information on the secondary structure arrangement in three-dimensional space is used for assignment; at the Topology/fold (T) level, information on how the secondary structure elements are connected and arranged is used; assignments are made to the Homologous superfamily (H) level if there is good evidence that the domains are related by evolution[2] i.e. they are homologous.

More information #, Level ...
The main levels of the CATH hierarchy:
# Level Description SCOP equivalent
1Classthe overall secondary-structure content of the domain.Class
2Architecturehigh structural similarity but no evidence of homology(None)
3Topology/folda large-scale grouping of topologies which share particular structural featuresFold
4Homologous superfamilyindicative of a demonstrable evolutionary relationship.Superfamily
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Each homologous superfamily (H) is broken down into structural clusters (SC), which are in turn broken down into functional families (FunFam). Inside each FunFam are a number of domains obtained by "chopping" PDB structures.

The CATH classification is expanded to domains with no experimentally determined structure by sister resources:

  • For each SC and each FunFam, Gene3D produces a hidden Markov model using the sequence of the domains. This allows domains with sequence homology to be identified from sequences.[8]
  • The Encyclopedia of Domains (TED) applies the automated CATH methodlogy to 188 million unique structures from the AlphaFold Protein Structure Database, identifying nearly 365 million domains, which is 100 million more than what Gene3D could identify. Using structual comparison, 194 million domains were matched to the CATH database at the superfamily (H) level, with an extra 46 million matched to the topology (T) level. The remaining domains have structures totally new to CATH.[9]

Releases

The CATH team releases new data both as daily snapshots, and official releases approximately annually. The latest release of CATH-Gene3D (v4.3) was released in December 2020 and consists of:[10]

  • 500,238 structural protein domain entries
  • 151 mln non-structural protein domain entries
  • 5,481 homologous superfamily entries
  • 212,872 functional family entries

Open-source software

CATH is an open source software project, with developers developing and maintaining a number of open-source tools,[11] which are available publicly on GitHub.[12]

References

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