Extracting medicinal chemistry intuition via preference machine learning. Article review
<p>The article <a href="https://www.nature.com/articles/s41467-023-42242-1" rel="noopener ugc nofollow" target="_blank">‘Extracting medicinal chemistry intuition via preference machine learning’</a> explores the innovative application of Artificial Intelligence (AI) in pharmaceutical chemistry. This research bridges the gap between traditional Drug Discovery methods and modern AI techniques. The focus is on replicating the ranking systems. By harnessing the power of AI, this approach seeks to accelerate and refine the selection of potential drug candidates, leveraging the collective expertise and insights of seasoned chemists.</p>
<p><em>Over months, researchers used Artificial Intelligence techniques to analyze comments from 35 chemists at Novartis. The major goal was to create models that may help with everyday activities like prioritizing compounds, justifying reasons, and biased de novo drug discovery by utilizing the pooled expertise and ideas of these specialists.</em></p>
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