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MHC Binding Predictor

Project Description

mhcflurry

MHC I ligand prediction package with competitive accuracy and a fast and documented implementation.

MHCflurry supports Class I peptide/MHC binding affinity prediction using ensembles of allele-specific models. It runs on Python 2.7 and 3.4+ using the keras neural network library. It exposes command-line and Python library interfaces.

If you find MHCflurry useful in your research please cite:

O’Donnell, T. et al., 2017. MHCflurry: open-source class I MHC binding affinity prediction. bioRxiv. Available at: http://www.biorxiv.org/content/early/2017/08/09/174243.

Installation (pip)

Install the package:

$ pip install mhcflurry

Then download our datasets and trained models:

$ mhcflurry-downloads fetch

You can now generate predictions:

$ mhcflurry-predict \
       --alleles HLA-A0201 HLA-A0301 \
       --peptides SIINFEKL SIINFEKD SIINFEKQ \
       --out /tmp/predictions.csv

Wrote: /tmp/predictions.csv

See the documentation for more details.

Release History

This version
History Node

1.1.0

History Node

1.0.0

History Node

0.9.2

History Node

0.9.1

History Node

0.9.0

History Node

0.2.0

History Node

0.0.8

Download Files

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
mhcflurry-1.1.0.tar.gz
(42.0 kB) Copy SHA256 Hash SHA256
Source None Feb 6, 2018

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