McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences
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Abstract
MOTIVATION: While growing numbers of T cell receptor (TCR) repertoires are being mapped by high-throughput sequencing, existing methods do not allow for computationally connecting a given TCR sequence to its target antigen, or relating it to a specific pathology. As an alternative, a manually-curated database can relate TCR sequences with their cognate antigens and associated pathologies based on published experimental data. RESULTS: We present McPAS-TCR, a manually curated database of TCR sequences associated with various pathologies and antigens based on published literature. Our database currently contains more than 5000 sequences of TCRs associated with various pathologic conditions (including pathogen…
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Topics
Keywords
- T-cell receptor
- Biology
- Computational biology
- Database
- Antigen
- T cell
- Computer science
- Immunology
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