… demonstrated how an AOP could be used to organize mechanistic toxicity data across … In
this case study, an AOP was used to assemble data from mechanistic toxicity assays, whereas …

… of toxicity but also enable mechanistic … importance and challenge of pruning a large,
but for the given application reasonable number of features to include in the network model …

… , based on manually curated causal toxicological networks. As a case study, we took a
recently published zebrafish developmental neurotoxicity network, which contains causally …

… Another advantageous aspect of applying network-based systems toxicology is the fact that
it offers an explicit framework for “mechanistic translatability” between test systems. As the …

… framework, we selected three case studies on ENMs exposures which … function deterioration
in COVID-19 [54]. In order to produce a quantitative evaluation of the use of network models …

… oxidative stress as the major mechanism underlying toxicity and reproduction failure as the
… conducted a case study of building an AOP to link oxidative stress with reproductive toxicity. …

… status of the field using case studies and discuss the potential … Integrating classic toxicology
approaches with network models … , systems toxicology frameworks, based upon mechanistic …

… studies on engineered nanomaterials to gain mechanistic insight … pave the way to
more accurate toxicity predictions. In the next … network models in systems toxicology meta-analysis. …

… the first Network Verification Challenge (NVC). In this study, we show that the networks
were further improved during a second NVC (NVC2), in which the crowd added mechanistic …

… response to FA exposure across the time points [8], and in this work, we sought to gain
mechanistic insight into the dose effect regarding carcinoma rate. Moreover, the network models …