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Running AlphaFold batch inference with Vertex AI Pipelines
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Running AlphaFold batch inference with Vertex AI Pipelines

via Google Cloud BlogRenato Leite

Today, to accelerate research in the bio-pharma space, from the creation of treatments for diseases to the production of new synthetic biomaterials, we are announcing a new Vertex AI solution that demonstrates how to use Vertex AI Pipelines to run DeepMind’s AlphaFold protein structure predictions at scale.  Once a protein’s structure is determined and its role within the cell is understood, scientists can develop drugs that can modulate the protein function based on its role in the cell. DeepMind , an AI research organization within Alphabet, created the AlphaFold system to advance this area of research by helping data scientists and other researchers to accurately predict protein geometries at scale. In 2020, in the Critical Assessment of Techniques for Protein Structure Prediction (CASP14) experiment, DeepMind presented a version of AlphaFold that predicted protein structures so accurately, experts declared the “ protein-folding problem ” solved. The next year, DeepMind open sourced

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