RAId_DbS: A Web Server for Peptide Identification
Author Information
Author(s): Alves Gelio, Ogurtsov Aleksey Y, Yu Yi-Kuo
Primary Institution: National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
Hypothesis
Integrating biological information with peptide identification can enhance the identification of disease markers.
Conclusion
The study successfully constructed enhanced databases for 17 organisms, improving peptide identification through integrated knowledge.
Supporting Evidence
- The study integrated various biological data sources to enhance peptide identification.
- RAId_DbS allows users to search for novel polymorphisms and disease associations.
- The tool was designed to minimize redundancy in protein sequence searches.
Takeaway
This study created a tool that helps scientists find proteins related to diseases by combining different types of biological information.
Methodology
The study involved constructing a protein database that integrates annotated single amino acid polymorphisms, post-translational modifications, and their disease associations.
Limitations
The tool may increase false positives due to a larger search space when including SAPs and PTMs.
Digital Object Identifier (DOI)
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