Mapping Proteins to Disease Terminologies
Author Information
Author(s): Anaïs Mottaz, Yum L. Yip, Patrick Ruch, Anne-Lise Veuthey
Primary Institution: Swiss Institute of Bioinformatics
Hypothesis
Can we link disease names in UniProt to MeSH disease terminology to improve accessibility for clinical researchers?
Conclusion
The study successfully linked proteins in UniProtKB to medical resources, aiding clinicians and researchers in navigating between diseases and genes.
Supporting Evidence
- The mapping procedure achieved a precision of 86% and a recall of 64%.
- More than 3,000 disease names in Swiss-Prot were mapped to MeSH with comparable efficiency.
Takeaway
This study helps connect information about diseases and proteins, making it easier for doctors and researchers to find what they need.
Methodology
The study involved mapping disease names from UniProtKB/Swiss-Prot to MeSH terms using a benchmark set of 200 manually mapped disease names.
Limitations
The mapping precision may be affected by the granularity of MeSH terms and the lack of specificity in genetic disease classifications.
Digital Object Identifier (DOI)
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