Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach

• Published in: Environmental health perspectives Vol. 127; no. 4; p. 47005
• Main Authors: Carvaillo, Jean-Charles, Barouki, Robert, Coumoul, Xavier, Audouze, Karine
• Format: Journal Article
• Language: English
• Published: United States National Institute of Environmental Health Sciences 01.04.2019; Environmental Health Perspectives
• Subjects: 21st century; Adverse Outcome Pathways; Analysis; Bioinformatics; Biology; Bisphenol A; Chemical Sciences; Chemicals; Cheminformatics; Computation; Computer applications; Data integration; Data Mining; Dictionaries; Disease; Disruption; Documents; Ecology, environment; Endocrine disruptors; Environmental stress; Graph theory; Health; Health care; Humans; Identification; Information processing; Life Sciences; Metabolism; Methods; Novels; Obesity; Organic chemistry; Phenols; Phenols (Class of compounds); Pollutants; Reproductive health; Risk Assessment - methods; Software; Sulfones; Systems Biology; Toxicity; Toxicology; France; United States > US

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. The study aims at developing and applying a new integra...