AI in biology has advanced quickly: generators, structure predictors, and sequence-to-function models are each powerful in isolation. But combining them into a unified design campaign still often means stitching together a bespoke pipeline.
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Aditi Merchant
@aditimerch
Replying to @aditimerch
Traditional biological engineering composes physical parts from nature using intuition, screening, and build-test-learn cycles. Proto instead defines modularity at a functional level and uses generative modeling to bridge that abstraction down to sequence.
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