Yang In Seok, Ryu Chunsun, Cho Ki Joon, Kim Jin Kwang, Ong Swee Hoe, Mitchell Wayne P, Kim Bong Su, Oh Hee-Bok, Kim Kyung Hyun
Department of Life Sciences & Biotechnology, School of Life Sciences & Biotechnology, Korea University, Seoul, Korea.
Nucleic Acids Res. 2008 Jan;36(Database issue):D455-60. doi: 10.1093/nar/gkm925. Epub 2007 Nov 3.
Biomarkers enable early diagnosis, guide molecularly targeted therapy and monitor the activity and therapeutic responses across a variety of diseases. Despite intensified interest and research, however, the overall rate of development of novel biomarkers has been falling. Moreover, no solution is yet available that efficiently retrieves and processes biomarker information pertaining to infectious diseases. Infectious Disease Biomarker Database (IDBD) is one of the first efforts to build an easily accessible and comprehensive literature-derived database covering known infectious disease biomarkers. IDBD is a community annotation database, utilizing collaborative Web 2.0 features, providing a convenient user interface to input and revise data online. It allows users to link infectious diseases or pathogens to protein, gene or carbohydrate biomarkers through the use of search tools. It supports various types of data searches and application tools to analyze sequence and structure features of potential and validated biomarkers. Currently, IDBD integrates 611 biomarkers for 66 infectious diseases and 70 pathogens. It is publicly accessible at http://biomarker.cdc.go.kr and http://biomarker.korea.ac.kr.
生物标志物能够实现早期诊断，指导分子靶向治疗，并监测各种疾病的活性和治疗反应。然而，尽管人们的兴趣和研究不断增加，但新型生物标志物的总体开发速度却一直在下降。此外，目前还没有一种能够有效检索和处理与传染病相关的生物标志物信息的解决方案。传染病生物标志物数据库（IDBD）是首批致力于构建一个易于访问且全面的、源自文献的数据库之一，该数据库涵盖了已知的传染病生物标志物。IDBD是一个社区注释数据库，利用Web 2.0的协作功能，提供了一个方便的用户界面，用于在线输入和修改数据。它允许用户通过使用搜索工具将传染病或病原体与蛋白质、基因或碳水化合物生物标志物联系起来。它支持各种类型的数据搜索和应用工具，以分析潜在的和经过验证的生物标志物的序列和结构特征。目前，IDBD整合了针对66种传染病和70种病原体的611种生物标志物。可通过http://biomarker.cdc.go.kr和http://biomarker.korea.ac.kr公开访问该数据库。
