Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ARGO

General information

URL: http://www.argodb.org/
Full name: Antibiotic Resistance Genes Online
Description: Antibiotic Resistance Genes Online (ARGO) is a database envisaging to collect & catalogue all the antibiotic resistance genes in bacteria. The current version of ARGO contains genes responsible for conferring resistance to Tetracycline, beta-lactams and Vancomycin.
Year founded: 2005
Last update:
Version:
Accessibility:
Accessible
Country/Region: India

Classification & Tag

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

Contact information

University/Institution: Birla Institute of Technology & Science
Address: Center for Biotechnology, Biological Sciences Group, Birla Institute of Technology & Science, Pilani-333031, India.
City: Pilani
Province/State: Rajasthan
Country/Region: India
Contact name (PI/Team): Sanjay Kumar Verma
Contact email (PI/Helpdesk): skverma@bits-pilani.ac.in

Publications

17597841
Antibiotic Resistance Genes Online (ARGO): a Database on vancomycin and beta-lactam resistance genes. [PMID: 17597841]
Scaria J, Chandramouli U, Verma SK.

Vancomycin and beta-lactams are antibiotics that inhibit gram positive bacteria by interfering with cell wall synthesis. However, continuous use of antibiotics results in the emergence of multi-drug resistant (MDR) bacterial strains. Here, we describe ARGO, a database containing gene sequences conferring resistance to these two classes of antibiotics. It is designed as a resource to enhance research on the prevalence and spread of antibiotic resistance genes. ARGO is the first attempt to compile the resistance gene sequence data with state specific information.
AVAILABILITY: AGRO is available for free at http://www.argodb.org/

Bioinformation. 2005:1(1) | 35 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4401/6895 (36.186%)
Gene genome and annotation:
1347/2021 (33.399%)
Health and medicine:
1120/1738 (35.616%)
4401
Total Rank
34
Citations
1.7
z-index

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Record metadata

Created on: 2018-01-24
Curated by:
Dong Zou [2018-06-08]
Qi Wang [2018-02-14]
Dong Zou [2018-01-24]