Matchmaking Proteins Using Machine Learning

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Professor Giri Narasimhan and Dr. Vitalii Stebliankin created a machine-learning model to predict how protein molecules will bind together, important for designing new medications and vaccines. The AI-based method uses biological and structural information to score the strength of the bond, giving scientists important starting information to figure out how to build a medication to bind to a specific protein. The results were recently published in Nature Machine Intelligence, and are featured in a news article at FIU.