title: Modeling biological activities of nanoparticles.
abstract: Products are increasingly incorporating nanomaterials, but we have a poor understanding of their adverse effects. To assess risk, regulatory authorities need more experimental testing of nanoparticles. Computational models play a complementary role in allowing rapid prediction of potential toxicities of new and modified nanomaterials. We generated quantitative, predictive models of cellular uptake and apoptosis induced by nanoparticles for several cell types. We illustrate the potential of computational methods to make a contribution to nanosafety.
authors.affiliation: CSIRO Materials Science and Engineering, 343 Royal Parade, Parkville, Victoria 3052, Australia.
authors.forename: V Chandana
authors.initials: VC
authors.lastname: Epa
authors.forename: Frank R
authors.initials: FR
authors.lastname: Burden
authors.forename: Carlos
authors.initials: C
authors.lastname: Tassa
authors.forename: Ralph
authors.initials: R
authors.lastname: Weissleder
authors.forename: Stanley
authors.initials: S
authors.lastname: Shaw
authors.forename: David A
authors.initials: DA
authors.lastname: Winkler
mesh_terms: D000818:Animals; D017209:Apoptosis; D001499:Bayes Theorem; D001703:Biophysics / Q000379:methods*; D045744:Cell Line, Tumor; D061307:Human Umbilical Vein Endothelial Cells; D006801:Humans; D051379:Mice; D015233:Models, Statistical; D053758:Nanoparticles / Q000737:chemistry*; D049329:Nanostructures / Q000737:chemistry*; D036103:Nanotechnology / Q000379:methods*; D012044:Regression Analysis; D012306:Risk; D013329:Structure-Activity Relationship