Running AlphaFold2 (from ColabFold) in Azure Machine Learning

Last update: Feb 18, 2022

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Overview

Running AlphaFold2 (from ColabFold) in Azure Machine Learning

Colby T. Ford, Ph.D.

Companion repository for Medium Post: How to predict many protein structures with AlphaFold2 at-scale in Azure Machine Learning.

Resources:

Jupyter Notebook: AzureML_AlphaFold2_HyperDrive.ipynb
Sample Sequence FASTA: sequences.fasta
Dockerfile: Dockerfile

Docker Image Creation

The custom Docker image for running ColabFold in Azure ML HyperDrive is available on Docker Hub at https://hub.docker.com/r/cford38/alphafold2_aml. If you'd like to build the image for yourself, follow the instructions below.

First, build the custom Azure ML Docker image (with the required dependencies for the AlphaFold2 system).

docker build -t alphafold2_aml --build-arg IMAGE_VERSION=$(git rev-parse --short HEAD) .

# docker run --name alphafold2_aml --rm -p 8787:8787 alphafold2_aml
# docker exec -it alphafold2_aml /bin/bash

To push the image to DockerHub, run the following:

docker image tag alphafold2_aml <USERNAME>/alphafold2_aml:latest
docker push <USERNAME>/alphafold2_aml:latest

# docker image tag alphafold2_aml cford38/alphafold2_aml:latest
# docker push cford38/alphafold2_aml:latest

To push the image to an Azure Container Registry, run the following:

az login
az account set --subscription <SUBSCRIPTION_ID>

az acr login --name <CONTAINER_REGISTRY_NAME>

docker tag mmae_aml <CONTAINER_REGISTRY_NAME>.azurecr.io/alphafold2_aml:$(git rev-parse --short HEAD)
docker push <CONTAINER_REGISTRY_NAME>.azurecr.io/alphafold2_aml:$(git rev-parse --short HEAD)

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Running AlphaFold2 (from ColabFold) in Azure Machine Learning

Related tags

Overview

Running AlphaFold2 (from ColabFold) in Azure Machine Learning

Colby T. Ford, Ph.D.

Resources:

Docker Image Creation

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