The development of a machine-learned scoring function of human preference in the context of early drug discovery campaigns

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In a recent study published in Nature Communications, researchers developed a scoring mechanism based on artificial intelligence for early drug discovery campaigns that might be utilized for compound prioritizing, motif rationalization, and biased drug design.