The Department of Health and Human Services, specifically the National Institutes of Health, is seeking proposals for the topic of "Harnessing Artificial Intelligence and Polypharmacology to Discover Pharmacotherapeutics for Substance Use Disorders (R43/R44 Clinical Trials Not Allowed)". This solicitation aims to leverage AI/ML tools to identify pharmacotherapeutic development candidates with lower toxicity and higher efficacy for the prevention or treatment of substance use disorders (SUDs). The traditional drug discovery paradigm of single-target-based approaches has limitations in addressing the complex mechanisms and polysubstance use associated with SUDs. Polypharmacology, the study of how drug molecules interact with multiple targets, is emerging as a new paradigm for drug development in multifactorial diseases like SUDs. The use of AI/ML technologies trained in polypharmacology can enhance the identification of SUD pharmacotherapeutics by evaluating and predicting the effects of binding to multiple biological targets, reducing toxicity, and informing in vitro and in vivo assays. The research objectives include identifying and validating disease targets, screening potential compounds, developing assays, synthesizing novel compounds, and conducting toxicity and efficacy studies. The Small Business Innovation Research (SBIR) program offers Phase I and Phase II funding opportunities to establish technical merit, feasibility, and commercial potential. Successful SBIR projects are expected to attract strategic partners or investors for ultimate commercialization. Phase I, Fast Track, and Direct to Phase II applications are accepted in response to this solicitation. The application due date is July 25, 2024. For more information, visit the solicitation agency website.