Applications of InterPro in protein annotation and genome analysis

The applications of InterPro span a range of biologically important areas that includes automatic annotation of protein sequences and genome analysis. In automatic annotation of protein sequences InterPro has been utilised to provide reliable characterisation of sequences, identifying them as candid...

Full description

Saved in:
Bibliographic Details
Published in:Briefings in bioinformatics 2002-09, Vol.3 (3), p.285-295
Main Authors: Biswas, Margaret, O'Rourke, John F, Camon, Evelyn, Fraser, Gill, Kanapin, Alexander, Karavidopoulou, Youla, Kersey, Paul, Kriventseva, Evgenia, Mittard, Virginie, Mulder, Nicola, Phan, Isabelle, Servant, Florence, Apweiler, Rolf
Format: Article
Language:English
Subjects:
Amino Acid Sequence
Bioinformatics
Classification
Computational Biology
Databases, Protein
Genome
Genome, Human
Genomics
Humans
Internet
Protein Conformation
Proteins
Proteins - chemistry
Proteins - classification
Proteins - genetics
Proteins - physiology
Proteome - analysis
Sequence Analysis, Protein
Software
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The applications of InterPro span a range of biologically important areas that includes automatic annotation of protein sequences and genome analysis. In automatic annotation of protein sequences InterPro has been utilised to provide reliable characterisation of sequences, identifying them as candidates for functional annotation. Rules based on the InterPro characterisation are stored and operated through a database called RuleBase. RuleBase is used as the main tool in the sequence database group at the EBI to apply automatic annotation to unknown sequences. The annotated sequences are stored and distributed in the TrEMBL protein sequence database. InterPro also provides a means to carry out statistical and comparative analyses of whole genomes. In the Proteome Analysis Database, InterPro analyses have been combined with other analyses based on CluSTr, the Gene Ontology (GO) and structural information on the proteins.
ISSN:1467-5463
1477-4054
DOI:10.1093/bib/3.3.285