Ontology highlight
ABSTRACT: Background
Available toxicity data can be optimally interpreted if they are integrated using computational approaches such as systems biology modeling. Such approaches are particularly warranted in cases where regulatory decisions have to be made rapidly.Objectives
The study aims at developing and applying a new integrative computational strategy to identify associations between bisphenol S (BPS), a substitute for bisphenol A (BPA), and components of adverse outcome pathways (AOPs).Methods
The proposed approach combines a text mining (TM) procedure and integrative systems biology to comprehensively analyze the scientific literature to enrich AOPs related to environmental stressors. First, to identify relevant associations between BPS and different AOP components, a
SUBMITTER: Carvaillo JC
PROVIDER: S-EPMC6785233 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature