aceA Multiparametric in vitro Strategy for Small Molecule Drug-Induced Liver Injury Risk Mitigation in Early Drug Development
Drug-induced liver injury (DILI) remains a major cause of preclinical and clinical attrition, reflecting persistent gaps in the predictive translation of preclinical safety data to human outcomes. To address these gaps, we established a refined multiparametric framework for early DILI risk prediction using a balanced reference set of 170 drugs with established clinical outcomes. Thirty physicochemical, mechanistic endpoints and exposure-related features were systematically evaluated to identify high-specificity…
Random Forest and flag-based models integrating exposure, lipophilicity, mitotoxicity and cytotoxicity improved early DILI risk prediction with high specificity, supporting safer molecule triage to reduce hepatotoxicity-related attrition.
Performance estimates are tied to a balanced reference set of 170 drugs and demonstration on contemporary Genentech portfolio molecules, limiting generalizability beyond those chemical spaces and in vitro systems.
Evidence
- Peer-reviewedToxicological Sciences2026-10-03
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Truvace Impact Record TRV-2026-1295, v1: “A Multiparametric in vitro Strategy for Small Molecule Drug-Induced Liver Injury Risk Mitigation in Early Drug Development.” Truvace, 2026-10-06. /record/TRV-2026-1295 (accessed at citation time). sha256 a512c07e44703c7e…
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