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Computational Approaches to Developmental and Reproductive Toxicology
Citation:
Knudsen, T. Computational Approaches to Developmental and Reproductive Toxicology. Presented at UNC Advanced Toxicology course: reproductive toxicology section, Chapel Hill, NC, April 24, 2019. https://doi.org/10.23645/epacomptox.8038712
Impact/Purpose:
Guest lecture to University of North Carolina Advanced Toxicology course: Reproductive Toxicology Section April 2019.
Description:
New approach methods (NAMs) are available for high-throughput screening (HTS) chemical inventories for profiling chemical-biological interactions in vitro. Adverse outcome pathways (AOPs) provide a framework for quantitative prediction of cellular and tissue responses to molecular perturbation(s). Computational biology is uniquely positioned to capture this connectivity and help shift decision-making to mechanistic prediction. Computer modeling and simulation puts all key events into motion enabling a new way to predictively model multicellular complexity in a self-organizing ‘virtual’ system.
URLs/Downloads:
DOI: Computational Approaches to Developmental and Reproductive Toxicology
KNUDSEN_UNC_2019_M.PDF (PDF, NA pp, 5203.032 KB, about PDF)