How AI is Transforming Enzyme Engineering
Modern machine learning is accelerating candidate generation and property prediction — but physical models and lab feedback loops still separate durable platforms from hype.
← All postsModern machine learning accelerates candidate generation, structure prediction, and property forecasting across the enzyme engineering pipeline. But the platforms that stay ahead combine learned representations with physics-based models and tight lab feedback loops.
At Arzeda we treat AI as one leg of a tripod alongside physics and precision experimentation. This post covers what we have learned operationalizing that combination over fifteen years of programs.