David Ebbrell

Pharmacy and Biomolecular Sciences

Journal article

Arnesdotter E, Spinu N, Firman J, Ebbrell D, Cronin MTD, Vanhaecke T, Vinken M. 2021. Derivation, characterisation and analysis of an adverse outcome pathway network for human hepatotoxicity Toxicology, DOI Author Url Publisher Url Public Url

Paini A, Worth A, Kulkarni S, Ebbrell D, Madden J. 2021. Assessment of the predictive capacity of a physiologically based kinetic model using a read-across approach Computational Toxicology, 18 DOI Author Url Publisher Url Public Url

Ebbrell D, Madden J, Cronin M, Schultz T, Enoch S. 2020. Development of a fragment-based in silico profiler for SN2 thiol reactivity and its application in predicting toxicity of chemicals towards Tetrahymena pyriformis Computational Toxicology, Public Url

Pawar G, Madden J, Ebbrell D, Firman J, Cronin M. 2019. In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR Frontiers in Pharmacology, 10 DOI Author Url Publisher Url Public Url

Mellor C, Marchese Robinson RL, Benigni R, Ebbrell D, Enoch S, Firman J, Madden J, Pawar G, Yang C, Cronin MTD. 2019. Molecular Fingerprint-Derived Similarity Measures for Toxicological Read-Across: Recommendations for Optimal Use Regulatory Toxicology and Pharmacology, 101 :121-134 DOI Author Url Public Url

Ebbrell DJ, Madden JC, Cronin MTD, Schultz TW, Enoch SJ. 2017. Validation of a fragment-based profiler for thiol reactivity for the prediction of toxicity: skin sensitisation and tetrahymena pyriformis Chemical Research in Toxicology, 30 :604-613 DOI Author Url Publisher Url Public Url

Ebbrell DJ, Madden JC, Cronin MT, Schultz TW, Enoch SJ. 2016. Development of a fragment-based in silico profiler for Michael addition thiol reactivity. Chemical Research in Toxicology, 29 :1073-1081 DOI Author Url Publisher Url Public Url

Sapounidou M, Ebbrell D, Bonnell M, Campos B, Firman J, Cronin M. Development of an Enhanced Mechanistically-Driven Mode of Action Classification Scheme for Adverse Effects in Environmental Species Environmental Science and Technology (Washington), DOI Author Url Public Url

Conference publication

Yang C, Cronin MT, Ebbrell D, Firman JW, Kawamoto T, Madden JC, Magdziarz T, Mostrag A, Rathman JF, Theophilus EH. 2019. novel methods for estimating noael confidence bounds and optimising similarity measures for read-across workflows TOXICOLOGY LETTERS, 55th Congress of the European-Societies-of-Toxicology (EUROTOX) - Toxicology - Science Providing Solutions 314 :S259-S260 Author Url

Cronin MTD, Bienfait B, Ebbrell DJ, Enoch SJ, Firman JW, Madden JC, Mostrag-Szlichtyng A, Rathman JF, Vitcheva V, Yang C. 2018. An extended mechanistically-based in silico profiler for liver toxicity TOXICOLOGY LETTERS, 54th Congress of the European-Societies-of-Toxicology (EUROTOX) - Toxicology Out of the Box 295 :S101-S101 DOI Author Url

Pletz J, Ebbrell DJ, Enoch SJ, Firman JW, Madden JC, Webb SD, Cronin MTD. 2018. Development of a Robust In Silico Profiler to Screen for Nephrotoxicity Endpoints TOXICOLOGY LETTERS, 54th Congress of the European-Societies-of-Toxicology (EUROTOX) - Toxicology Out of the Box 295 :S97-S97 DOI Author Url

Madden JC, Ebbrell DJ, Cronin MTD. 2018. Identifying potential analogues for read-across in Physiologically-Based Kinetic (PBK) modelling TOXICOLOGY LETTERS, 54th Congress of the European-Societies-of-Toxicology (EUROTOX) - Toxicology Out of the Box 295 :S100-S100 DOI Author Url

Steinmetz FP, Ebbrell DJ, Enoch SJ, Madden JC, Nelms M, Cronin MTD. 2015. Developing read-across for toxicity prediction within an AOP framework to support the transition from the analogue approach to local QSARs Toxicology Letters 238 Suppl S166, 51st Congress of the European Societies of Toxicology (Eurotox) DOI Author Url

Thesis/Dissertation

Ebbrell DJ. The Development of a Fragment-Based in silico Profiler for the Prediction of Thiol Reactivity and Toxicity Enoch S, Madden J, Cronin M. Public Url

Chapters

Ebbrell D, Cronin M, Ellison C, Firman J, Madden J. Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species Roy K. Ecotoxicological QSARs Springer DOI

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