This is an interim development repo for Machine Learning pipeline to predict Peptide Vaccine Candidates.
The paper provide an overview of proposed pipeline: https://github.com/testpilot0/covid/blob/master/Google%20AI%20Platform%20Pipelines_%20Predicting%20COVID%20Peptide%20Vaccine%20Candidates.pdf
Two folders "lab" and "demo" contains hands-on activities that one can peform to understand end to end AI Pipeline and Operationalizing it at scale using Google Cloud AI Platform.
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Peptide_Prediction_BigQuery_Demo.ipynb - explore peptide data and run BQML to predict peptide bindings.
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AI_Pipeline_MHC_Peptide.ipynb -provide steps to deploy and run AI pipeline for peptide binding.
It allow data scientist quickly plug and explore various models
(see module: https://github.com/jarokaz/peptide-predict/blob/master/mch_pipeline/model.py line 87-84)
and run the entire pipeline with a single command. That allows data scientist run multiple computation experiments in parallel and explore various models for outcome prediction.