Announcing iProClass Release 2.0: An integrated, value-added database of protein information

Pirmail pirmail at NBRF.Georgetown.Edu
Mon Jul 8 03:57:47 EST 2002


Announcing iProClass Release 2.0
An Integrated, Value-Added Database of Protein Information
Containing 809,717 Sequence Entries


The Protein Information Resource (PIR) is pleased to announce release
2.0 of iProClass, an integrated resource for exploration of protein
information. The database provides comprehensive family relationships
and functional and structural features of proteins summarized from many
sources for all PIR-PSD, Swiss-Prot, and TrEMBL sequences, with rich
links to over 50 biological databases. The proteins are organized with
more than 36,000 superfamilies, 145,000 families, 3700 domains, 1300
motifs, and 550,000 FASTA similarity clusters. The cross-referenced
databases include:

- Protein Sequences: PIR-PSD, PIR-NREF, Swiss-Prot, TrEMBL, GenPept,
- Protein Families: Pfam, PROSITE, BLOCKS, COG, InterPro, MetaFam
- Genes and Genomes: GenBank, LocusLink, TIGR, SGD, GDB, OMIM, et al.
- Structures and Structural Classes: PDB, SCOP, CATH, PDBSum, MMDB, FSSP

- Enzymes and Pathways: EC-IUBMB, KEGG, WIT, BRENDA, MetaCyc
- Protein Interactions: DIP, BIND
- Post-Translational Modifications: RESID, Phosphorylation Site DB
- Protein Expressions/Proteomes: PMG
- Ontologies: GO
- Literature: PubMed
- Taxonomy: NCBI Taxonomy

iProClass is freely accessible for sequence searching or text retrieval
from more than 50 fields (see examples below). Both protein and
superfamily reports provide detailed descriptions with graphical domain
and motif display. Lists of proteins and superfamilies returned by
BLAST/SSEARCH search, peptide match, or text search are shown with
one-line summaries.

Protein Report:

Superfamily Report:

BLAST/SSEARCH Sequence Search Result (List):

Peptide Match Result (List):

Text Search Result (List):

To obtain a downloadable copy of iProClass or to establish reciprocal
links or mirror sites, please contact Cathy Wu at wuc at
Your comments and feedback are most welcome.

The work is supported in part by NSF grant# DBI-9974855 and NIH grant#


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