Journal Publications Details for:

Ontologies for Data & Models for Liver Toxicology
Grant Number R835001
RFA: Computational Toxicology: Biologically-Based Multi-Scale Modeling (2010)
Journal Article (6)
Reference Type Citation Progress Report Year Document Sources
Journal Article Andasari V, Roper RT, Swat MH, Chaplain MAJ. Integrating intracellular dynamics using CompuCell3D and BioNetSolver: applications to multiscale modelling of cancer cell growth and invasion. PLoS ONE 2012;7(3):e33726. R835001 (Final)
Journal Article Petersen BK, Ropella G, Hunt CA. Toward modular biological models: defining analog modules based on referent physiological mechanisms. BMC Systems Biology 2014;8:95. R835001 (Final)
Journal Article Sluka JP, Glazier JA, Swat M. Infrastructure requirements for moving multiscale modeling from research tools to the clinical and regulatory domains. VPH NoE Newsletter 2012;7:12. R835001 (Final)
Journal Article Sluka J, Shirinifard A, Swat M, Cosmanescu A, Heiland RW, Glazier J. The Cell Behavior Ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents. Bioinformatics 2014;30(16):2367-2374. R835001 (Final)
Journal Article Wambaugh JF, Wetmore BA, Pearce R, Strope C, Goldsmith R, Sluka JP, Sedykh A, Tropsha A, Bosgra S, Shah I, Judson R, Thomas RS, Setzer RW. Toxicokinetic triage for environmental chemicals. Toxicological Sciences 2015;147(1):55-67. R835001 (Final)
R835166 (2016)
R835166 (Final)
Journal Article Wang Y, Lin Z, Liu Z, Harris S, Kelly R, Zhang J, Ge W, Chen M, Borlak J, Tong W. A unifying ontology to integrate histological and clinical observations for drug-induced liver injury. American Journal of Pathology 2013;182(4):1180-1187. R835001 (Final)