Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach

Exploring the potential of ToxCast™ data for mechanism-based prioritization of chemicals in regulatory context: Case study with priority existing chemicals (PECs) under K-REACH - ScienceDirect

Full article: Bringing together scientific disciplines for collaborative undertakings: a vision for advancing the adverse outcome pathway framework

Adverse outcome pathways as a tool for the design of testing strategies to support the safety assessment of emerging advanced materials at the nanoscale, Particle and Fibre Toxicology

Development of AOP relevant to microplastics based on toxicity mechanisms of chemical additives using ToxCast™ and deep learning models combined approach - ScienceDirect

Frontiers From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study

PDF) Identification of toxicity pathway of diesel particulate matter using AOP of PPARγ inactivation leading to pulmonary fibrosis

Loop Lyle Burgoon

Identification of molecular initiating events (MIE) using chemical database analysis and nuclear receptor activity assays for screening potential inhalation toxicants - ScienceDirect

Application of the adverse outcome pathway concept for investigating developmental neurotoxicity potential of Chinese herbal medicines by using human neural progenitor cells in vitro

Frontiers From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study

In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities. - Abstract - Europe PMC

Frontiers From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study

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