PIRSF: family classification system at the Protein Information Resource.
The Protein Information Resource (PIR) is an integrated public resource of protein informatics. To facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors, PIR has extended its superfamily concept and developed the SuperFamily (PIRSF) classification system. Based on the evolutionary relationships of whole proteins, this classification system allows annotation of both specific biological and generic biochemical functions. The system adopts a network structure for protein classification from superfamily to subfamily levels. Protein family members are homologous (sharing common ancestry) and homeomorphic (sharing full-length sequence similarity with common domain architecture). The PIRSF database consists of two data sets, preliminary clusters and curated families. The curated families include family name, protein membership, parent-child relationship, domain architecture, and optional description and bibliography. PIRSF is accessible from the website at http://pir.georgetown.edu/pirsf/ for report retrieval and sequence classification. The report presents family annotation, membership statistics, cross-references to other databases, graphical display of domain architecture, and links to multiple sequence alignments and phylogenetic trees for curated families. PIRSF can be utilized to analyze phylogenetic profiles, to reveal functional convergence and divergence, and to identify interesting relationships between homeomorphic families, domains and structural classes.
Wu
Cathy H
CH
Department of Biochemistry and Molecular Biology, Georgetown University Medical Center, 3900 Reservoir Road, NW, Box 571414, Washington, DC 20057-1414, USA. pirmail@georgetown.edu
Nikolskaya
Anastasia
A
Huang
Hongzhan
H
Yeh
Lai-Su L
LS
Natale
Darren A
DA
Vinayaka
C R
CR
Hu
Zhang-Zhi
ZZ
Mazumder
Raja
R
Kumar
Sandeep
S
Kourtesis
Panagiotis
P
Ledley
Robert S
RS
Suzek
Baris E
BE
Arminski
Leslie
L
Chen
Yongxing
Y
Zhang
Jian
J
Cardenas
Jorge Louie
JL
Chung
Sehee
S
Castro-Alvear
Jorge
J
Dinkov
Georgi
G
Barker
Winona C
WC
D020816:Amino Acid Motifs; D000818:Animals; D019295:Computational Biology; D030562:Databases, Protein; D019143:Evolution, Molecular; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry* / Q000145:classification*
D011506:Proteins