[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer?

The structure of a protein determines its functionality. Researchers have used this data in the past to design new drugs, vaccines, and enzymes. You can access the database for free here - [https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe](https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe)

This new database will allow researchers to gain a deeper understanding of protein families, how they interact and evolve, etc. Deepmind has written some use cases here - [https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe](https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe)

How would you use it? What would you like to explore or predict with it?

alphafold data database engineer machinelearning ml protein protein structures