Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

VIP DB

General information

URL: http://vipdb.cgu.edu.tw
Full name: VIral Protein domain DataBase
Description: VIP DB (VIrus Protein domain DataBase) is a database which associate virus protein domains with their putative biological functions and interacting partners.
Year founded: 2012
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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

Contact information

University/Institution: Chang Gung University
Address:
City: Taoyuan
Province/State: Taiwan
Country/Region: China
Contact name (PI/Team): PetrusTang
Contact email (PI/Helpdesk): petang@mail.cgu.edu.tw

Publications

22735743
VIP DB--a viral protein domain usage and distribution database. [PMID: 22735743]
Chen TW, Gan RR, Wu TH, Lin WC, Tang P.

During the viral infection and replication processes, viral proteins are highly regulated and may interact with host proteins. However, the functions and interaction partners of many viral proteins have yet to be explored. Here, we compiled a VIral Protein domain DataBase (VIP DB) to associate viral proteins with putative functions and interaction partners. We systematically assign domains and infer the functions of proteins and their protein interaction partners from their domain annotations. A total of 2,322 unique domains that were identified from 2,404 viruses are used as a starting point to correlate GO classification, KEGG metabolic pathway annotation and domain-domain interactions. Of the unique domains, 42.7% have GO records, 39.6% have at least one domain-domain interaction record and 26.3% can also be found in either mammals or plants. This database provides a resource to help virologists identify potential roles for viral protein. All of the information is available at http://vipdb.cgu.edu.tw.

Genomics. 2012:100(3) | 0 Citations (from Europe PMC, 2025-12-13)

Ranking

0
Citations
0
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: 2018-01-29
Curated by:
Pei Wang [2018-02-25]