AI-guided drug search flags folic acid for diabetic wound healing

Researchers from the National University of Singapore (NUS) have developed an AI-guided workflow that combines artificial intelligence (AI) with molecular simulations to identify potential drug candidates for diabetic wound healing, identifying folic acid, a common vitamin, as a top candidate.

Diabetic wounds, particularly diabetic foot ulcers, are often difficult to heal because many biological processes are disrupted at the same time. Inflammation, tissue repair and cell growth can all be affected, making it challenging to identify which existing drugs could help support wound recovery.

The multidisciplinary research team was led by Professor Giorgia Pastorin from the NUS Department of Pharmacy and Pharmaceutical Sciences in collaboration with Associate Professor Chen-Hua Yeow from the Department of Biomedical Engineering and Associate Professor Min-Yen Kan from the Department of Computer Science.

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