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Exploring protein domain structure
Author(s) -
Jon Ison
Publication year - 2000
Publication title -
briefings in bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.204
H-Index - 113
eISSN - 1477-4054
pISSN - 1467-5463
DOI - 10.1093/bib/1.3.305
Subject(s) - domain (mathematical analysis) , protein domain , protein structure database , computer science , protein structure , annotation , computational biology , protein function prediction , structural genomics , protein function , function (biology) , genome , biology , artificial intelligence , genetics , gene , mathematics , sequence database , mathematical analysis , biochemistry
The protein databank contains coordinates of over 10,000 protein structures, which constitute more than 25,000 structural domains in total. The investigation of protein structural, functional and evolutionary relationships is fundamental to many important fields in bioinformatics research, and will be crucial in determining the function of the human and other genomes. This review describes the SCOP and CATH databases of protein structure classification, which define, classify and annotate each domain in the protein databank. The hierarchical structure, use and annotation of the databases are explained. Other tools for exploring protein structure relationships are also described.

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