You are here:
Computational Biology and Predictive Toxicology of Neurovascular Morphogenesis
Citation:
Knudsen, T., W. Murphy, R. Ashton, J. Fu, F. Ginhoux, H. Heusinkveld, S. Hunter, AND K. Carstens. Computational Biology and Predictive Toxicology of Neurovascular Morphogenesis. EPA Comptox Community of Practice webinar July 2022, NA, NC, July 28, 2022. https://doi.org/10.23645/epacomptox.21375741
Impact/Purpose:
Presentation to the EPA CompTox Community of Practice webinar, July 28, 2022
Description:
Embryonic development entails a series of coordinated multicellular behaviors that evolve over time and space. Human cell-based synthetic microsystems (in vitro) and computational systems models (in silico) are emerging tools for predictive modeling of complex morphogenetic behaviors; however, unraveling this complexity remains a challenge for predictive toxicology of self-organizing tissues such as the neural tube and its microvasculature. Biomimetic microsystems and computer models that recapitulate this self-organization, together with chemical profiling data from ToxCast and deep literature mining, can begin to address this challenge. A community of practice will be necessary to orchestrate fully executable computational models patterning the neural tube, perineural vascular development, and blood-brain barrier formation for predictive toxicology. This abstract does not necessarily reflect U.S. EPA policy.
URLs/Downloads:
DOI: Computational Biology and Predictive Toxicology of Neurovascular Morphogenesis
COP_KNUDSEN_2022_FINAL.PDF (PDF, NA pp, 9925.886 KB, about PDF)