ProbResist

ProbResist catalogs experimentally supported reports of antibiotic resistance in probiotic bacteria to enable retrieval and analysis of resistant determinants, implicated antibiotics, and study provenance.


Key Features:

  • Manually Curated Data: Built on manually curated reports to ensure accuracy of antibiotic resistance annotations in probiotic bacteria.
  • Search Functionality: Targeted searches by bacterial names, antibiotics, or geographic locations allow focused retrieval of relevant records.
  • Comprehensive Data Presentation: Results are available as a downloadable table including the antibiotic involved, probiotic species, resistant determinants, study location, PubMed Identifier and Digital Object Identifier.
  • Analytical Tools: Simple analytical tools support interpretation and analysis of resistance trends and patterns within the database.

Scientific Applications:

  • Research on Antibiotic Resistance: Resource for microbiologists studying mechanisms and determinants of antibiotic resistance in probiotic bacteria.
  • Public Health Policy Development: Provides data to inform policy strategies addressing the spread of drug-resistant bacteria.
  • Clinical Decision-Making: Supports evidence-based consideration of probiotic and antibiotic use by highlighting potential resistance issues.

Methodology:

Systematic collection and manual curation of published reports documenting antibiotic resistance in probiotic bacteria, with each database entry supported by experimental evidence.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
10/9/2022
Last Updated:
10/9/2022

Operations

Publications

Dou W, Abdalla HB, Chen X, Sun C, Chen X, Tian Q, Wang J, Zhou W, Chi W, Zhou X, Ye H, Bi C, Tian X, Yang Y, Wong A. ProbResist: a database for drug-resistant probiotic bacteria. Database. 2022;2022. doi:10.1093/database/baac064. PMID:35962763. PMCID:PMC9375527.

PMID: 35962763
PMCID: PMC9375527
Funding: - Wenzhou-Kean University Student Partnering with Faculty (SpF) research program: WKU201920009, SpF2021002 and SpS2021029 - Zhejiang Bioinformatics International Science and Technology Cooperation Center: WB20210429000008 - Wenzhou Municipal Key Lab for Applied Biomedical and Biopharmaceutical Informatics: WB20211227000125