Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ProClass protein family database

General information

URL: http://pir.georgetown.edu/gfserver/proclass
Full name:
Description: ProClass is a protein family database that organizes non-redundant sequence entries into families defined collectively by PIR superfamilies and PROSITE patterns. By combining global similarities and functional motifs into a single classification scheme, ProClass helps to reveal domain and family relationships and classify multi-domain proteins.
Year founded: 1999
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: Protein Information Resource
Address: Protein Information Resource, National Biomedical Research Foundation, 3900 Reservoir Road, NW, Washington, DC 20007, USA
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Cathy H. Wu
Contact email (PI/Helpdesk): wuc@nbrf.georgetown.edu

Publications

10592245
ProClass protein family database. [PMID: 10592245]
Huang H, Xiao C, Wu CH.

ProClass is a protein family database that organizes non-redundant sequence entries into families defined collectively by PIR superfamilies and PROSITE patterns. By combining global similarities and functional motifs into a single classification scheme, ProClass helps to reveal domain and family relationships and classify multi-domain proteins. The database currently consists of >155 000 sequence entries retrieved from both PIR-International and SWISS-PROT databases. Approximately 92 000 or 60% of the ProClass entries are classified into approximately 6000 families, including a large number of new members detected by our GeneFIND family identification system. The ProClass motif collection contains approximately 72 000 motif sequences and >1300 multiple alignments for all PROSITE patterns, including >21 000 matches not listed in PROSITE and mostly detected from unique PIR sequences. To maximize family information retrieval, the database provides links to various protein family, domain, alignment and structural class databases. With its high classification rate and comprehensive family relationships, ProClass can be used to support full-scale genomic annotation. The database, now being implemented in an object-relational database management system, is available for online sequence search and record retrieval from our WWW server at http://pir.georgetown.edu/gfserver/proclass.html

Nucleic Acids Res. 2000:28(1) | 11 Citations (from Europe PMC, 2025-12-13)
9847199
ProClass Protein Family Database. [PMID: 9847199]
Wu CH, Shivakumar S, Huang H.

ProClass is a protein family database that organizes non-redundant sequence entries into families defined collectively by PROSITE patterns and PIR superfamilies. By combining global similarities and functional motifs into a single classification scheme, ProClass helps to reveal domain and family relationships and classify multi-domain proteins. The database currently consists of more than 120 000 sequence entries, approximately 60% of which is classified into about 3500 families. To maximize family information retrieval, the database provides links to various protein family/domain and structural class databases and contains multiple motif alignments of all PROSITE patterns as well as global alignments of PIR superfamilies. The motif sequences are retrieved from both PIR-International and SWISS-PROT databases, including a large number of new members detected by our GeneFIND family identification system. ProClass can be used to support full-scale genomic annotation, because of its high classification rate. The ProClass database is available for on-line search and record retrieval from our WWW server at http://diana.uthct.edu/proclass.html

Nucleic Acids Res. 1999:27(1) | 5 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5967/6895 (13.474%)
Expression:
1199/1347 (11.062%)
5967
Total Rank
15
Citations
0.577
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:
huma shireen [2018-08-28]
Zhaohua Li [2018-02-24]
Pei Wang [2018-02-08]