Chihae Yang

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ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.

Antony J. Williams, R. Judson, T. Knudsen, 2016, Chemical research in toxicology.

Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships

Scott D. Kahn, G. Klopman, W. Tong, 2005, Alternatives to laboratory animals : ATLA.

Systematic analysis of large screening sets in drug discovery.

M. Fligner, J. Verducci, G. Myatt, 2004, Current drug discovery technologies.

QSAR modeling: where have you been? Where are you going to?

J. Dearden, R. Todeschini, R. Cramer, 2014, Journal of medicinal chemistry.

RE: Response to the Office of Environmental Health Hazard Assessment on comments related to Gentry et al. (2021).

Chihae Yang, J. Rathman, H. Clewell, 2021, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

Integration of Evidence to Evaluate the Potential for Neurobehavioral Effects Following Exposure to USFDA-Approved Food Colors.

Chihae Yang, J. Rathman, H. Clewell, 2021, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

Chemical effects in biological systems--data dictionary (CEBS-DD): a compendium of terms for the capture and integration of biological study design description, conventional phenotypes, and 'omics data.

N. Morrison, M. Waters, K. Tomer, 2005, Toxicological sciences : an official journal of the Society of Toxicology.

Editorial: Advances and Refinements in the Development and Application of Threshold of Toxicological Concern

G. Patlewicz, A. Worth, Chihae Yang, 2022, Frontiers in Toxicology.

Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0

Chihae Yang, E. Benfenati, S. Kovarich, 2022, EFSA Supporting Publications.

The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.

M. Pavan, Chihae Yang, S. Kovarich, 2016, Methods in molecular biology.

Maintenance, update and further development of EFSA's Chemical Hazards: OpenFoodTox 2.0

Chihae Yang, E. Benfenati, L. Ceriani, 2020, EFSA Supporting Publications.

COSMOS DB as an international share point for exchanging regulatory and toxicity data of cosmetics ingredients and related substances

Chihae Yang, J. Rathman, C. Schwab, 2015 .

Adsorption-solution structure relationships of PET/POET polymeric surfactants in aqueous solutions

Chihae Yang, J. Rathman, 1996 .

Legacy data sharing to improve drug safety assessment: the eTOX project

Anne Hersey, Søren Brunak, Anthony J. Brookes, 2017, Nature Reviews Drug Discovery.

A Review of In Silico Toxicology Approaches to Support the Safety Assessment of Cosmetics-Related Materials

Chihae Yang, J. Rathman, S. Enoch, 2022, Computational Toxicology.

Evaluation of the applicability of existing (Q)SAR models for predicting the genotoxicity of pesticides and similarity analysis related with genotoxicity of pesticides for facilitating of grouping and read across: An EFSA funded project.

Alessandro Giuliani, Olga Tcheremenskaia, Romualdo Benigni, 2020, Regulatory toxicology and pharmacology : RTP.

Alessandro Giuliani, Olga Tcheremenskaia, Romualdo Benigni, 2019, EFSA Supporting Publications.

Assessing the safety of cosmetic chemicals: Consideration of a flux decision tree to predict dermally delivered systemic dose for comparison with oral TTC (Threshold of Toxicological Concern).

Helga Rothe, Alessandro Chiodini, Mark T.D. Cronin, 2016, Regulatory toxicology and pharmacology : RTP.

The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology

Antony J. Williams, Ryan R. Lougee, R. Judson, 2020, Chemical research in toxicology.

Toxicity Data Informatics: Supporting a New Paradigm for Toxicity Prediction

Chihae Yang, Ann M. Richard, Richard S. Judson, 2008, Toxicology mechanisms and methods.

Landscape of current toxicity databases and database standards.

R Daniel Benz, Chihae Yang, Chihae Yang, 2006, Current opinion in drug discovery & development.

Unlocking the potential of in silico chemical safety assessment – A report on a cross-sector symposium on current opportunities and future challenges

Judith C. Madden, Mark T. D. Cronin, Chihae Yang, 2019, Computational toxicology.

Origin of the TTC values for compounds that are genotoxic and/or carcinogenic and an approach for their re-evaluation

Mirjam Luijten, Alan Boobis, Chihae Yang, 2017, Critical reviews in toxicology.

Quantitative structure-skin permeability relationships.

Andrew P Worth, Simona Kovarich, Petko Alov, 2017, Toxicology.

Thresholds of Toxicological Concern for cosmetics-related substances: New database, thresholds, and enrichment of chemical space.

Andrew Worth, Detlef Keller, Kirk B Arvidson, 2017, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

New Publicly Available Chemical Query Language, CSRML, To Support Chemotype Representations for Application to Data Mining and Modeling

Johann Gasteiger, Andrew P. Worth, Tomasz Magdziarz, 2015, J. Chem. Inf. Model..

Novel technologies and an overall strategy to allow hazard assessment and risk prediction of chemicals, cosmetics, and drugs with animal-free methods.

Chihae Yang, Brett A Lidbury, Marcel Leist, 2012, ALTEX.

Toxicology ontology perspectives.

Imran Shah, Janna Hastings, Olga Tcheremenskaia, 2012, ALTEX.

The role of a molecular informatics platform to support next generation risk assessment

Chihae Yang, J. Rathman, S. Enoch, 2023, Computational Toxicology.

Safer chemicals using less animals: kick-off of the European ONTOX project.

Djork-Arné Clevert, A. Piersma, T. Vanhaecke, 2021, Toxicology.

Threshold of Toxicological Concern—An Update for Non-Genotoxic Carcinogens

Chihae Yang, J. Rathman, M. Cronin, 2021, Frontiers in Toxicology.

Evaluation of high-throughput genotoxicity assays used in profiling the US EPA ToxCast chemicals.

Ann Richard, Chihae Yang, Richard Judson, 2009, Regulatory toxicology and pharmacology : RTP.

Improvement of quantitative structure–activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project

Alessandro Giuliani, Emilio Benfenati, Ulf Norinder, 2018, Mutagenesis.

Chihae Yang, J. Rathman, T. Barton-Maclaren, 2020, Chemical research in toxicology.

The application of molecular modelling in the safety assessment of chemicals: A case study on ligand-dependent PPARγ dysregulation.

Andrew P Worth, Petko Alov, Elena Fioravanzo, 2017, Toxicology.

A structural feature-based computational approach for toxicology predictions

Naomi L Kruhlak, Chihae Yang, Luis G Valerio, 2010, Expert opinion on drug metabolism & toxicology.

Combined Use of MC4PC, MDL-QSAR, BioEpisteme, Leadscope PDM, and Derek for Windows Software to Achieve High-Performance, High-Confidence, Mode of Action–Based Predictions of Chemical Carcinogenesis in Rodents

Naomi L Kruhlak, R Daniel Benz, Chihae Yang, 2008, Toxicology mechanisms and methods.

A new paradigm in threshold of toxicological concern based on chemoinformatics analysis of a highly curated database enriched with antimicrobials.

Chihae Yang, James Rathman, Vessela Vitcheva, 2020, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

In silico prediction of skin metabolism and its implication in toxicity assessment

Judith C. Madden, Mark T. D. Cronin, Rebecca J. Shipley, 2017 .

Dempster-Shafer theory for combining in silico evidence and estimating uncertainty in chemical risk assessment

Chihae Yang, James F. Rathman, Haojin Zhou, 2018 .

Finding discriminating structural features by reassembling common building blocks.

Glenn Myatt, Chihae Yang, Joseph S Verducci, 2003, Journal of medicinal chemistry.

A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS)

Ryan R. Lougee, G. Patlewicz, A. Richard, 2023, Chemical research in toxicology.

Use of computational tools in the field of food safety.

Andrew Worth, Paolo Mazzatorta, Benoît Schilter, 2011, Regulatory toxicology and pharmacology : RTP.

Multiscale and Bayesian approaches to data analysis in genomics high-throughput screening.

B. Bakshi, P. Blower, Chihae Yang, 2002, Current opinion in drug discovery & development.

Mechanistic study of model monolayer membranes and their interactions with surfactants: correlation

Chihae Yang, J. Rathman, C. Ansong, 2001 .

Toward a checklist for exchange and interpretation of data from a toxicology study.

Susan Hester, Weida Tong, Stephen W. Edwards, 2007, Toxicological sciences : an official journal of the Society of Toxicology.

Building predictive models for protein tyrosine phosphatase 1B inhibitors based on discriminating structural features by reassembling medicinal chemistry building blocks.

Chihae Yang, Glenn J Myatt, James F Rathman, 2004, Journal of medicinal chemistry.

Predictive Models for Carcinogenicity and Mutagenicity: Frameworks, State-of-the-Art, and Perspectives

C Helma, R Benigni, E Benfenati, 2009, Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews.

Workshop report on the evaluation of the updated and expanded carcinogen database to support derivation of threshold of toxicological concern values for DNA reactive carcinogens.

Chihae Yang, J. Rathman, A. Boobis, 2022, ALTEX.

The Expanding Role of Predictive Toxicology: An Update on the (Q)SAR Models for Mutagens and Carcinogens

Emilio Benfenati, Romualdo Benigni, Chihae Yang, 2007, Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews.

A Robust, Mechanistically Based In Silico Structural Profiler for Hepatic Cholestasis.

M. Vinken, Chihae Yang, J. Rathman, 2020, Chemical research in toxicology.

Development of a New Threshold of Toxicological Concern Database of Non-cancer Toxicity Endpoints for Industrial Chemicals

Chihae Yang, J. Rathman, A. Hirose, 2021, Frontiers in Toxicology.

High Throughput Read-Across for Screening a Large Inventory of Related Structures by Balancing Artificial Intelligence/Machine Learning and Human Knowledge.

Chihae Yang, J. Rathman, T. Barton-Maclaren, 2023, Chemical research in toxicology.

Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment.

W. Tong, S. Thakkar, Chihae Yang, 2020, Chemical research in toxicology.

Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities.

Naomi L Kruhlak, R Daniel Benz, Gilles Klopman, 2009, Regulatory toxicology and pharmacology : RTP.

Supporting data-mining, read-across and chemical space analysis for toxicity data gap filling using the COSMOS database

Chihae Yang, J. Rathman, J. Madden, 2017 .

The Art of Data Mining the Minefields of Toxicity Databases to Link Chemistry to Biology

Chihae Yang, Ann M. Richard, Kevin P. Cross, 2006 .

Computational Toxicology Approaches at the US Food and Drug Administration a

Chihae Yang, Luis G Valerio, Kirk B Arvidson, 2009, Alternatives to laboratory animals : ATLA.

A toxicology ontology roadmap.

Imran Shah, Janna Hastings, Olga Tcheremenskaia, 2012, ALTEX.

Development of Computational Models for the Risk Assessment of Cosmetic Ingredients

M. Berthold, S. Anzali, Chihae Yang, 2012 .

A novel approach: chemical relational databases, and the role of the ISSCAN database on assessing chemical carcinogenicity.

Ann M Richard, Romualdo Benigni, Chihae Yang, 2008, Annali dell'Istituto superiore di sanita.