A McMaster University AI model called SyntheMol-RL designed a new antibiotic candidate by searching a chemical space of 46 billion possible compounds — a scale far beyond physical lab screens, which usually test hundreds of thousands to a few million molecules.

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A McMaster AI model reportedly searched 46 billion possible compounds for a new antibiotic candidate, showing how computational chemical space can exceed physical screening. The post A McMaster University AI model called SyntheMol-RL designed a new antibiotic candidate by searching a chemical space of 46 billion possible compounds — a scale far beyond physical lab screens, which usually test hundreds of thousands to a few million molecules. appeared first on Space Daily .