MHCflurry
MHCflurry is a software tool for predicting class I peptide/MHC ligands. The MHCflurry algorithm includes functions to predict an "antigen processing" modeling MHC allele-independent effects and a "presentation" predictor integrating processing predictions with binding affinity predictions to yield a composite "presentation score." The package uses the TensorFlow neural network library.
Topic
Immunology;Immunoproteins, genes and antigens;Protein interactions
Detail
Operation: Peptide immunogenicity prediction
Software interface: Command-line user interface
Language: Python
License: Apache-2.0
Cost: Free
Version name: 2.0.6
Credit: The intramural funding of the German Cancer Research Center (DKFZ), the German Center for Infection Research (DZIF), the Helmholtz International Graduate School of the DKFZ, the Parker Institute for Cancer Immunotherapy.
Input: -
Output: -
Contact: Timothy J O'Donnell timothy.odonnell@icahn.mssm.edu
Collection: -
Maturity: Mature
Publications
- MHCflurry: Open-Source Class I MHC Binding Affinity Prediction.
- O'Donnell TJ, Rubinsteyn A, Bonsack M, Riemer AB, Laserson U, Hammerbacher J. MHCflurry: Open-Source Class I MHC Binding Affinity Prediction. Cell Syst. 2018 Jul 25;7(1):129-132.e4. doi: 10.1016/j.cels.2018.05.014. Epub 2018 Jun 27. PMID: 29960884.
- https://doi.org/10.1016/j.cels.2018.05.014
- PMID: 29960884
- PMC: -
- MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing
- O'Donnell TJ, Rubinsteyn A, Laserson U. MHCflurry 2.0: Improved Pan-Allele Prediction of MHC Class I-Presented Peptides by Incorporating Antigen Processing. Cell Syst. 2020 Jul 22;11(1):42-48.e7. doi: 10.1016/j.cels.2020.06.010. Epub 2020 Jul 14. Erratum in: Cell Syst. 2020 Oct 21;11(4):418-419. PMID: 32711842.
- https://doi.org/10.1016/j.cels.2020.09.001
- PMID: 33091335
- PMC: -
Download and documentation
Documentation: http://openvax.github.io/mhcflurry/
Home page: https://github.com/openvax/mhcflurry
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