Quantitative Systems Toxicology Modeling To Address Key Safety Questions in Drug Development: A Focus of the TransQST Consortium
Sofia Ferreira, Ciarán Fisher, Laura I. Furlong, Loïc Laplanche, Brian Kevin Park, Carmen Pin, Julio Sáez-Rodríguez, Panuwat Trairatphisan
Abstract
Omics data have been increasingly generated with limited demonstrated value in drug safety assessment. The TransQST consortium was launched to use omics and other data in mechanistic-based quantitative systems toxicology (QST) models to evaluate their potential use in species translation.
Topics & Concepts
Key (lock)Drug developmentData scienceComputer scienceDrugToxicologyRisk analysis (engineering)MedicinePharmacologyBiologyComputer securityMicrobial Metabolic Engineering and BioproductionComputational Drug Discovery MethodsViral Infectious Diseases and Gene Expression in Insects