Application of IATA - A case study in evaluating the global and local performance of a Bayesian network model for skin sensitization.

ABSTRACT: The information characterizing key events in an Adverse Outcome Pathway (AOP) can be generated from in silico, in chemico, in vitro and in vivo approaches. Integration of this information and interpretation for decision making are known as integrated approaches to testing and assessment (IATA). One such IATA was published by Jaworska et al., which describes a Bayesian network model known as ITS-2. The current work evaluated the performance of ITS-2 using a stratified cross-validation approach. We also characterized the impact of replacing the most significant component of the network, output from the expert system TIMES-SS, with structural alert information from the OECD Toolbox and Toxtree. Lack of structural alerts or TIMES-SS predictions yielded a sensitization potential prediction of 7

SUBMITTER: Fitzpatrick JM 

PROVIDER: S-EPMC6284231 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature