Schrödinger combines molecular simulation with machine learning to predict how drug candidates will bind to protein targets, reducing the number of compounds that need to be physically synthesized and tested. Pharmaceutical companies use its platform across the full discovery pipeline, from hit identification through lead optimization.
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