McPAS‐TCR: a manually curated catalogue of pathology‐associated T cell receptor sequences
By N. Tickotsky, Tal Sagiv, Jaime Prilusky, E. Shifrut, Nir Friedman. Bioinform., 2017
503 citations recorded by the source corpus.
Subfields: Immunology, Oncology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/af8ef665e0cd44a7cf69b811626519a3fcf323b4
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In Immunology
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- TCRmodel: high resolution modeling of T cell receptors from sequence (2018, methodology): “By providing the community with the means to generate high resolution TCR structural models from sequence, TCRmodel complements recent public databases that provide TCR sequences (24,28), providing the means to extend the insights from these TCR sequence datasets into structural space.”
- VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium (2019, methodology): “After the first version of VDJdb (6) and a pathologyassociated TCR database (McPAS-TCR (7)) were published, a commonly used iEDB database that describes immunogenic antigens was also modified to add metadata related to TCR and B-cell receptor sequences (8), highlighting the overall demand for such d”