While existing metrics help chemists evaluate virtual molecules based on properties like druggability and synthetic feasibility, one crucial factor has been missing—cost estimation. The study, published in Molecular Informatics, showcases how to leverage AI to incorporate the availability and prices of starting materials, enabling smarter, cost-efficient decisions in molecular design.
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