Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Database

RAId_DbS: mass-spectrometry based peptide identification web server with knowledge integration

Gelio Alves, Aleksey Y Ogurtsov and Yi-Kuo Yu*

Author Affiliations

National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA

For all author emails, please log on.

BMC Genomics 2008, 9:505  doi:10.1186/1471-2164-9-505

Published: 27 October 2008



Existing scientific literature is a rich source of biological information such as disease markers. Integration of this information with data analysis may help researchers to identify possible controversies and to form useful hypotheses for further validations. In the context of proteomics studies, individualized proteomics era may be approached through consideration of amino acid substitutions/modifications as well as information from disease studies. Integration of such information with peptide searches facilitates speedy, dynamic information retrieval that may significantly benefit clinical laboratory studies.


We have integrated from various sources annotated single amino acid polymorphisms, post-translational modifications, and their documented disease associations (if they exist) into one enhanced database per organism. We have also augmented our peptide identification software RAId_DbS to take into account this information while analyzing a tandem mass spectrum. In principle, one may choose to respect or ignore the correlation of amino acid polymorphisms/modifications within each protein. The former leads to targeted searches and avoids scoring of unnecessary polymorphism/modification combinations; the latter explores possible polymorphisms in a controlled fashion. To facilitate new discoveries, RAId_DbS also allows users to conduct searches permitting novel polymorphisms as well as to search a knowledge database created by the users.


We have finished constructing enhanced databases for 17 organisms. The web link to RAId_DbS and the enhanced databases is webcite. The relevant databases and binaries of RAId_DbS for Linux, Windows, and Mac OS X are available for download from the same web page.