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Can AI Run a Drug Discovery Lab on Its Own?

1What It Would Mean for AI to Run a Lab2The Drug Discovery Pipeline in Plain Terms3Where AI Already Helps Today4Closing the Loop: Self-Driving Labs5Real Examples of AI-Run Lab Systems6Where Autonomy Breaks Down7What Still Needs a Human
Where AI Already Helps Today

Making Molecules, Not Just Judging Them

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Filtering still assumes the right molecule is already sitting in the collection. Often it is not, and that is where the second role comes in: AI that proposes molecules instead of judging them.
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Scoring only works on molecules that already exist in a collection. AI can also propose new ones: given the target and the properties that matter, generative models build structures that never existed before, then refine them step by step toward better predicted potency and drug-like behavior. The output is a shortlist of designed candidates, still hypothetical until someone makes and tests them.

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