"AI and Supercomputers Revolutionize Drug Discovery for HIV Treatment"
Researchers at MIT and Tufts University have developed a new AI model called ConPLex that can screen over 100 million compounds in a single day, vastly accelerating drug discovery by predicting drug-protein interactions without the need to calculate the molecules’ structures. The model could significantly reduce drug development failure rates and costs. By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds. The researchers have made their model available online for other scientists to use.