Literature DB >> 26087950

Using CATH-Gene3D to Analyze the Sequence, Structure, and Function of Proteins.

Ian Sillitoe1, Tony Lewis1, Christine Orengo1.   

Abstract

The CATH database is a classification of protein structures found in the Protein Data Bank (PDB). Protein structures are chopped into individual units of structural domains, and these domains are grouped together into superfamilies if there is sufficient evidence that they have diverged from a common ancestor during the process of evolution. A sister resource, Gene3D, extends this information by scanning sequence profiles of these CATH domain superfamilies against many millions of known proteins to identify related sequences. Thus the combined CATH-Gene3D resource provides confident predictions of the likely structural fold, domain organisation, and evolutionary relatives of these proteins. In addition, this resource incorporates annotations from a large number of external databases such as known enzyme active sites, GO molecular functions, physical interactions, and mutations. This unit details how to access and understand the information contained within the CATH-Gene3D Web pages, the downloadable data files, and the remotely accessible Web services.
Copyright © 2015 John Wiley & Sons, Inc.

Keywords:  functional family; protein classification; protein domain; protein structure; superfamily

Mesh:

Substances:

Year:  2015        PMID: 26087950     DOI: 10.1002/0471250953.bi0128s50

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  6 in total

1.  Recognition of sites of functional specialisation in all known eukaryotic protein kinase families.

Authors:  Raju Kalaivani; Raju Reema; Narayanaswamy Srinivasan
Journal:  PLoS Comput Biol       Date:  2018-02-13       Impact factor: 4.475

2.  Exploring the dark foldable proteome by considering hydrophobic amino acids topology.

Authors:  Tristan Bitard-Feildel; Isabelle Callebaut
Journal:  Sci Rep       Date:  2017-01-30       Impact factor: 4.379

3.  Chopping and Changing: the Evolution of the Flavin-dependent Monooxygenases.

Authors:  Maria Laura Mascotti; Maximiliano Juri Ayub; Nicholas Furnham; Janet M Thornton; Roman A Laskowski
Journal:  J Mol Biol       Date:  2016-07-14       Impact factor: 5.469

4.  GO annotation in InterPro: why stability does not indicate accuracy in a sea of changing annotations.

Authors:  Amaia Sangrador-Vegas; Alex L Mitchell; Hsin-Yu Chang; Siew-Yit Yong; Robert D Finn
Journal:  Database (Oxford)       Date:  2016-03-19       Impact factor: 3.451

5.  Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents.

Authors:  Sandra Giuliani; Arthur C Silva; Joyce V V B Borba; Pablo I P Ramos; Ross A Paveley; Eugene N Muratov; Carolina Horta Andrade; Nicholas Furnham
Journal:  PLoS Comput Biol       Date:  2018-10-22       Impact factor: 4.475

6.  GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms.

Authors:  Yi-Wei Liu; Tz-Wei Hsu; Che-Yu Chang; Wen-Hung Liao; Jia-Ming Chang
Journal:  BMC Bioinformatics       Date:  2020-11-18       Impact factor: 3.169

  6 in total

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