Ben Brown, research assistant professor of chemistry, is working on developing nonaddictive opioid alternatives by understanding how molecules interact with proteins in the body. He was awarded a $1.5 million grant by the National Institute on Drug Abuse for his work. Brown’s focus is on Mu-opioid receptors, developing artificial intelligence to analyze potential opioid drugs, and modeling drug-protein interactions in a way that accounts for their dynamic physical movements. His goal is to provide safe and effective pain management without the risk of addiction. This research is groundbreaking and represents the future of addiction science.
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Using AI to break the opioid addiction cycle
