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Related Experiment Video

Updated: Jul 10, 2026

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data

Published on: May 15, 2019

IDBD: infectious disease biomarker database.

In Seok Yang¹, Chunsun Ryu, Ki Joon Cho

¹Department of Life Sciences & Biotechnology, School of Life Sciences & Biotechnology, Korea University, Seoul, Korea.

Nucleic Acids Research

|November 6, 2007

Summary

This summary is machine-generated.

The Infectious Disease Biomarker Database (IDBD) offers a centralized resource for infectious disease biomarkers. This community-driven database facilitates early diagnosis and targeted therapy development for infectious diseases.

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Area of Science:

Biomedical Informatics
Infectious Diseases
Biomarker Discovery

Background:

Biomarkers are crucial for early diagnosis, targeted therapy, and monitoring disease response.
The development of novel biomarkers has slowed, with a lack of efficient resources for infectious disease biomarkers.
Existing literature-derived databases do not adequately address the specific needs of infectious disease biomarker information retrieval and processing.

Purpose of the Study:

To develop and present the Infectious Disease Biomarker Database (IDBD), a comprehensive, literature-derived resource for infectious disease biomarkers.
To provide an accessible platform for researchers to retrieve, process, and contribute information on infectious disease biomarkers.
To support the advancement of infectious disease diagnosis and treatment through efficient biomarker data management.

Main Methods:

Developed IDBD as a community annotation database utilizing Web 2.0 features for collaborative data input and revision.
Implemented a user-friendly interface for linking infectious diseases/pathogens to protein, gene, or carbohydrate biomarkers.
Integrated search tools and application tools for analyzing sequence and structure features of biomarkers.

Main Results:

IDBD currently integrates 611 biomarkers associated with 66 infectious diseases and 70 pathogens.
The database provides a centralized and accessible repository for literature-derived infectious disease biomarker data.
Community annotation features allow for ongoing data refinement and expansion.

Conclusions:

IDBD represents a significant step towards addressing the need for a comprehensive infectious disease biomarker resource.
The database's collaborative nature and search functionalities can accelerate biomarker discovery and validation.
IDBD is publicly accessible, promoting wider use in research and clinical applications for infectious diseases.