Publications
2023
Effects of adaptive comparative judgement on student engagement with peer formative feedback
Ellison, C. (2023). Effects of adaptive comparative judgement on student engagement with peer formative feedback. Practitioner Research in Higher Education.
2022
Developing student self-regulation through comparative peer-assessment
Ellison, C. (2022). Developing student self-regulation through comparative peer-assessment. Poster session presented at the meeting of Assessment in Higher Education Conference 2022. Manchester, UK.
In Silico Models for Hepatotoxicity
Ellison, C., Hewitt, M., & Przybylak, K. (2022). In Silico Models for Hepatotoxicity. In In Silico Methods for Predicting Drug Toxicity. New York: Humana.
2020
Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species
Ebbrell, D. J., Cronin, M. T. D., Ellison, C. M., Firman, J. W., & Madden, J. C. (2020). Development of Baseline Quantitative Structure-Activity Relationships (QSARs) for the Effects of Active Pharmaceutical Ingredients (APIs) to Aquatic Species. In Methods in Pharmacology and Toxicology (pp. 331-356). Springer US. doi:10.1007/978-1-0716-0150-1_15
2016
Assessment of in silico approaches to predict adverse effects to the kidney and bladder
Mellor, C. L., Ellison, C. M., Enoch, S. J., Jais, D. M., Madden, J. C., Soares, S., . . . Cronin, M. T. (2016). Assessment of in silico approaches to predict adverse effects to the kidney and bladder. Toxicology Letters, 258, S117. doi:10.1016/j.toxlet.2016.06.1477
Improving in silico methods of ecotoxicity hazard identification for active pharmaceutical ingredients (APIs)
Ellison, C. M., Madden, J. C., Mellor, C. L., & Cronin, M. T. (2016). Improving in silico methods of ecotoxicity hazard identification for active pharmaceutical ingredients (APIs). Toxicology Letters, 258, S121. doi:10.1016/j.toxlet.2016.06.1490
Adverse Outcome Pathway (AOP) Informed Modeling of Aquatic Toxicology: QSARs, Read-Across, and Interspecies Verification of Modes of Action.
Ellison, C. M., Piechota, P., Madden, J. C., Enoch, S. J., & Cronin, M. T. D. (2016). Adverse Outcome Pathway (AOP) Informed Modeling of Aquatic Toxicology: QSARs, Read-Across, and Interspecies Verification of Modes of Action.. Environmental science & technology, 50(7), 3995-4007. doi:10.1021/acs.est.5b05918
2015
Investigation of the Verhaar scheme for predicting acute aquatic toxicity: improving predictions obtained from Toxtree ver. 2.6.
Ellison, C. M., Madden, J. C., Cronin, M. T. D., & Enoch, S. J. (2015). Investigation of the Verhaar scheme for predicting acute aquatic toxicity: improving predictions obtained from Toxtree ver. 2.6.. Chemosphere, 139, 146-154. doi:10.1016/j.chemosphere.2015.06.009
Identification of, and overcoming, the barriers to the regulatory use of in silico models for toxicity prediction
Ellison, C., Madden, J., Cronin, M., & Hewitt, M. (2015). Identification of, and overcoming, the barriers to the regulatory use of in silico models for toxicity prediction. In TOXICOLOGY LETTERS Vol. 238 (pp. S171). doi:10.1016/j.toxlet.2015.08.581
Ensuring confidence in predictions: A scheme to assess the scientific validity of <i>in silico</i> models
Hewitt, M., Ellison, C. M., Cronin, M. T. D., Pastor, M., Steger-Hartmann, T., Munoz-Muriendas, J., . . . Madden, J. C. (2015). Ensuring confidence in predictions: A scheme to assess the scientific validity of <i>in silico</i> models. ADVANCED DRUG DELIVERY REVIEWS, 86, 101-111. doi:10.1016/j.addr.2015.03.005
2011
A review of the use of in silico methods to predict the chemistry of molecular initiating events related to drug toxicity.
Ellison, C. M., Enoch, S. J., & Cronin, M. T. D. (2011). A review of the use of in silico methods to predict the chemistry of molecular initiating events related to drug toxicity.. Expert opinion on drug metabolism & toxicology, 7(12), 1481-1495. doi:10.1517/17425255.2011.629186
A review of the electrophilic reaction chemistry involved in covalent protein binding relevant to toxicity.
Enoch, S. J., Ellison, C. M., Schultz, T. W., & Cronin, M. T. D. (2011). A review of the electrophilic reaction chemistry involved in covalent protein binding relevant to toxicity.. Critical reviews in toxicology, 41(9), 783-802. doi:10.3109/10408444.2011.598141
Assessment of methods to define the applicability domain of structural alert models.
Ellison, C. M., Sherhod, R., Cronin, M. T. D., Enoch, S. J., Madden, J. C., & Judson, P. N. (2011). Assessment of methods to define the applicability domain of structural alert models.. Journal of chemical information and modeling, 51(5), 975-985. doi:10.1021/ci1000967
The use of a chemistry-based profiler for covalent DNA binding in the development of chemical categories for read-across for genotoxicity.
Enoch, S. J., Cronin, M. T. D., & Ellison, C. M. (2011). The use of a chemistry-based profiler for covalent DNA binding in the development of chemical categories for read-across for genotoxicity.. Alternatives to laboratory animals : ATLA, 39(2), 131-145. doi:10.1177/026119291103900206
2010
Developing the applicability domain of in silico models: Relevance, importance and methodology
Hewitt, M., & Ellison, C. (2010). Developing the applicability domain of in silico models: Relevance, importance and methodology. In M. Cronin, & J. Madden (Eds.), In Silico Toxicology (pp. 301-333). Cambridge: Royal Society of Chemistry.
Integrating (Q)SAR models, expert systems and read-across approaches for the prediction of developmental toxicity.
Hewitt, M., Ellison, C. M., Enoch, S. J., Madden, J. C., & Cronin, M. T. D. (2010). Integrating (Q)SAR models, expert systems and read-across approaches for the prediction of developmental toxicity.. Reproductive toxicology (Elmsford, N.Y.), 30(1), 147-160. doi:10.1016/j.reprotox.2009.12.003
Using In Silico Tools in a Weight of Evidence Approach to Aid Toxicological Assessment.
Ellison, C. M., Madden, J. C., Judson, P., & Cronin, M. T. D. (2010). Using In Silico Tools in a Weight of Evidence Approach to Aid Toxicological Assessment.. Molecular informatics, 29(1-2), 97-110. doi:10.1002/minf.200900006
2009
Definition of the applicability domains of knowledge-based predictive toxicology expert systems by using a structural fragment-based approach.
Ellison, C. M., Enoch, S. J., Cronin, M. T., Madden, J. C., & Judson, P. (2009). Definition of the applicability domains of knowledge-based predictive toxicology expert systems by using a structural fragment-based approach.. Alternatives to laboratory animals : ATLA, 37(5), 533-545. doi:10.1177/026119290903700510
2008
Definition of the structural domain of the baseline non-polar narcosis model for Tetrahymena pyriformis.
Ellison, C. M., Cronin, M. T. D., Madden, J. C., & Schultz, T. W. (2008). Definition of the structural domain of the baseline non-polar narcosis model for Tetrahymena pyriformis.. SAR and QSAR in environmental research, 19(7-8), 751-783. doi:10.1080/10629360802550366