Machine Learning Powered Force Fields


I can’t wait to implement machine learning powered force fields! Here’s why:
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With quantum mechanics one can understand the transitional states. So called in between steps of the reaction. You can imagine with this approach we can now study bound and unbound states in the same analysis. This can increase by several fold how we understand the interactions between a ligand and a protein. This is NOT possible with traditional force fields (e.g., AMBER).
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A few machine learning based-FFs that I recently read include MACE and Allegro. Their respective reference papers show promising results. So I’m super excited about it.
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I’ll be sharing my personal experience with these FFs in the future

Thank you,

Best,

Omar.

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