Related references
Note: Only part of the references are listed.Identification of neurotoxic compounds in cyanobacteria exudate mixtures
Yuanyan Zi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2023)
Predicting chemical hazard across taxa through machine learning
Jimeng Wu et al.
ENVIRONMENT INTERNATIONAL (2022)
High throughput data-based, toxicity pathway-oriented development of a quantitative adverse outcome pathway network linking AHR activation to lung damages
Yuan Jin et al.
JOURNAL OF HAZARDOUS MATERIALS (2022)
Mapping DEHP to the adverse outcome pathway network for human female reproductive toxicity
Kristina Pogrmic-Majkic et al.
ARCHIVES OF TOXICOLOGY (2022)
Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications
Jaeseong Jeong et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2022)
A development of a graph-based ensemble machine learning model for skin sensitization hazard and potency assessment
Byoungjun Jeon et al.
JOURNAL OF APPLIED TOXICOLOGY (2022)
Identification of toxicity pathway of diesel particulate matter using AOP of PPARγ inactivation leading to pulmonary fibrosis
Jaeseong Jeong et al.
ENVIRONMENT INTERNATIONAL (2021)
Development of AOP relevant to microplastics based on toxicity mechanisms of chemical additives using ToxCast (TM) and deep learning models combined approach
Jaeseong Jeong et al.
ENVIRONMENT INTERNATIONAL (2020)
Putative adverse outcome pathways for female reproductive disorders to improve testing and regulation of chemicals
Hanna K. L. Johansson et al.
ARCHIVES OF TOXICOLOGY (2020)
Female Fertility and Environmental Pollution
Rita Canipari et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)
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
Jaeseong Jeong et al.
CHEMICAL RESEARCH IN TOXICOLOGY (2019)
Could deep learning in neural networks improve the QSAR models?
G. Gini et al.
SAR AND QSAR IN ENVIRONMENTAL RESEARCH (2019)
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
Alberto Fernandez et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2018)
Harvesting the promise of AOPs: An assessment and recommendations
Annamaria Carusi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Human exposure to endocrine disrupting chemicals: effects on the male and female reproductive systems
Stavros Sifakis et al.
ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY (2017)
Adverse outcome pathways: opportunities, limitations and open questions
Marcel Leist et al.
ARCHIVES OF TOXICOLOGY (2017)
Effects of the environmental contaminants DEHP and TCDD on estradiol synthesis and aryl hydrocarbon receptor and peroxisome proliferator-activated receptor signalling in the human granulosa cell line KGN
Jana Ernst et al.
MOLECULAR HUMAN REPRODUCTION (2014)
The adverse outcome pathway concept: A pragmatic tool in toxicology
Mathieu Vinken
TOXICOLOGY (2013)
Peroxisome Proliferator-Activated Receptor-γ Mediates Bisphenol A Inhibition of FSH-Stimulated IGF-1, Aromatase, and Estradiol in Human Granulosa Cells
Jakub Kwintkiewicz et al.
ENVIRONMENTAL HEALTH PERSPECTIVES (2010)
Extended-Connectivity Fingerprints
David Rogers et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2010)
Direct rosiglitazone action on steroidogenesis and proinflammatory factor production in human granulosa-lutein cells
Qiuju Chen et al.
REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY (2009)
Peroxisome Proliferator-Activated Receptors as Mediators of Phthalate-Induced Effects in the Male and Female Reproductive Tract: Epidemiological and Experimental Evidence
Giuseppe Latini et al.
PPAR RESEARCH (2008)
Dual activation of PPARα and PPARγ by mono-(2-ethylhexyl) phthalate in rat ovarian granulosa cells
T Lovekamp-Swan et al.
MOLECULAR AND CELLULAR ENDOCRINOLOGY (2003)
Mono-(2-ethylhexyl) phthalate suppresses aromatase transcript levels and estradiol production in cultured rat granulosa cells
TN Lovekamp et al.
TOXICOLOGY AND APPLIED PHARMACOLOGY (2001)
Molecular descriptors in chemoinformatics, computational combinatorial chemistry, and virtual screening
L Xue et al.
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING (2000)