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Bioinformatics. 2004 Apr 12;20(6):937-44. Epub 2004 Jan 29.

The Hera database and its use in the characterization of endoplasmic reticulum proteins.

Author information

1
McGill Center for Bioinformatics, Duff Medical Building, McGill University, 3755 University Street, Montreal, Quebec, Canada H3A 2B4.

Abstract

MOTIVATION:

Information concerning endoplasmic reticulum (ER) proteins is widely dispersed and cannot be easily and rapidly processed by the biological community. We present a comprehensive database of human ER proteins, called Human ER Aper├žu (Hera). The Hera database was constructed by exhaustively searching through public databases and the scientific literature for ER proteins.

RESULTS:

Hera was used for the analysis of characteristics common to all human ER proteins. Our results show that a high proportion of ER proteins (59%) have at least one transmembrane domain and display physical characteristics consistent with this observation. In addition, one-third of ER proteins contain known ER retrieval or retention signals and 70% of ER proteins contain a signal peptide or anchor. Finally, 85% of ER proteins contain at least one InterPro motif. The most abundant InterPro motifs in ER proteins represent many of the most well-characterized functions of the ER.

PMID:
14751973
DOI:
10.1093/bioinformatics/bth010
[Indexed for MEDLINE]

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