#45. Genome-wide Virtual Screening
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#45. Genome-wide Virtual Screening
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In this episode, we'll introduce a new publication, DrugCLIP, a high-speed artificial intelligence framework designed to revolutionize drug discovery through genome-wide virtual screening. This innovative method utilizes deep contrastive learning to align protein pockets with potential drug molecules, achieving speeds millions of times faster than traditional computational docking. To enhance accuracy, the researchers developed GenPack, a strategy that refines AlphaFold-predicted protein structures to better identify viable binding sites. The authors successfully validated their model through wet-lab experiments, identifying new inhibitors for challenging targets, such as the TRIP12 enzyme. By screening over 10 trillion protein-ligand pairs, they created an open-access database covering nearly half of the human genome. This resource aims to accelerate the development of treatments for previously undruggable proteins and less-understood diseases. Produced by Dr. Jake Chen.