Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

iProClass

General information

URL: http://pir.georgetown.edu/iproclass
Full name:
Description: The iProClass database provides value-added information reports for UniProtKB and unique NCBI Entrez protein sequences in UniParc, with links to over 175 biological databases, including databases for protein families, functions and pathways, interactions, structures and structural classifications, genes and genomes, ontologies, literature, and taxonomy.
Year founded: 2001
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Georgetown University Medical School
Address:
City: Washington, DC
Province/State:
Country/Region: United States
Contact name (PI/Team): Wu CH
Contact email (PI/Helpdesk): wuc@georgetown.edu

Publications

15022647
The iProClass integrated database for protein functional analysis. [PMID: 15022647]
Wu CH, Huang H, Nikolskaya A, Hu Z, Barker WC.

Increasingly, scientists have begun to tackle gene functions and other complex regulatory processes by studying organisms at the global scales for various levels of biological organization, ranging from genomes to metabolomes and physiomes. Meanwhile, new bioinformatics methods have been developed for inferring protein function using associative analysis of functional properties to complement the traditional sequence homology-based methods. To fully exploit the value of the high-throughput system biology data and to facilitate protein functional studies requires bioinformatics infrastructures that support both data integration and associative analysis. The iProClass database, designed to serve as a framework for data integration in a distributed networking environment, provides comprehensive descriptions of all proteins, with rich links to over 50 databases of protein family, function, pathway, interaction, modification, structure, genome, ontology, literature, and taxonomy. In particular, the database is organized with PIRSF family classification and maps to other family, function, and structure classification schemes. Coupled with the underlying taxonomic information for complete genomes, the iProClass system (http://pir.georgetown.edu/iproclass/) supports associative studies of protein family, domain, function, and structure. A case study of the phosphoglycerate mutases illustrates a systematic approach for protein family and phylogenetic analysis. Such studies may serve as a basis for further analysis of protein functional evolution, and its relationship to the co-evolution of metabolic pathways, cellular networks, and organisms.

Comput Biol Chem. 2004:28(1) | 56 Citations (from Europe PMC, 2025-12-13)
11125047
iProClass: an integrated, comprehensive and annotated protein classification database. [PMID: 11125047]
Wu CH, Xiao C, Hou Z, Huang H, Barker WC.

The iProClass database is an integrated resource that provides comprehensive family relationships and structural and functional features of proteins, with rich links to various databases. It is extended from ProClass, a protein family database that integrates PIR superfamilies and PROSITE motifs. The iProClass currently consists of more than 200,000 non-redundant PIR and SWISS-PROT proteins organized with more than 28,000 superfamilies, 2600 domains, 1300 motifs, 280 post-translational modification sites and links to more than 30 databases of protein families, structures, functions, genes, genomes, literature and taxonomy. Protein and family summary reports provide rich annotations, including membership information with length, taxonomy and keyword statistics, full family relationships, comprehensive enzyme and PDB cross-references and graphical feature display. The database facilitates classification-driven annotation for protein sequence databases and complete genomes, and supports structural and functional genomic research. The iProClass is implemented in Oracle 8i object-relational system and available for sequence search and report retrieval at http://pir.georgetown.edu/iproclass/.

Nucleic Acids Res. 2001:29(1) | 18 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
3251/6895 (52.864%)
Raw bio-data:
240/582 (58.935%)
3251
Total Rank
73
Citations
3.042
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2018-02-08
Curated by:
Zhaohua Li [2018-02-23]
Pei Wang [2018-02-08]