Publication Topic

Covington TR, Borghoff SJ, Bacigalupi L, O’Neal S, Cook B, Nelms M, et al. Prediction of chemical suitability for screening in a high-throughput assay platform using an in silico mass balance model. American Society of Cellular and Computational Toxicology Annual Meeting, Research Triangle Park, NC, October 2024.

Perry CS, Verwiel AH, Covington TR, Proctor DM. 2024. PBPK modeling demonstrates that exposure time adjustment is unnecessary for setting an acute manganese inhalation exposure guideline. Regul Toxicol Pharmacol 153(Nov):105698; doi: 10.1016/j.yrtph.2024.105698.

Burnett J, Sychterz C, Zhu D, Shakeel F, Dingley K, Chen W, et al. Prospective application of physiologically based pharmacokinetic (PBPK) modeling to inform the design of a clinical drug-drug interaction (DDI) study: Case study of mezigdomide. Poster presented at American Society of Clinical Pharmacology and Therapeutics (ASCPT) Annual Meeting, Colorado Springs, CO, March 2024.

Racz L, Mittal L, Perry CS, Blanchette A, Proctor D. Assessing sustainable applications of electric arc furnace steel slag as construction aggregate: Applications of probabilistic risk assessment and physiologically-based pharmacokinetic modeling. Poster presented at Society of Environmental Toxicology and Chemistry North America 44^th Annual Meeting, Louisville, KY, November 2023.

Perry CS, Blanchette AD, Vivanco SN, Verwiel AH, Proctor DM. 2023. Use of physiologically based pharmacokinetic modeling to support development of an acute (24-hour) health-based inhalation guideline for manganese. Regul Toxicol Pharmacol 145:105518; doi: 10.1016/j.yrtph.2023.105518.

Price S, Maddaloni M, Finley B, Thornton S, Unice K. 2023. Extending regulatory biokinetic lead models towards food safety: Evaluation of consumer baby food contribution to infant blood lead levels and variability. Foods 12(14):2732; 103390/foods12142732. PMID: 37509824.

Lawrenz M, Svensson M, Kato M, Dingley K, et al. 2023. A computational physics-based approach to predict unbound brain-to-plasma partition coefficient, Kp,uu. Chem Inf Model 63(12):3786–3798; doi: 10.121/acs.jcim.3c00150. PMID: 37267072.

East A, Egeghy PP, Cohen Hubal EA, Slover R, Vallero DA. 2023. Computational estimates of daily aggregate exposure to PFOA/PFOS from 2011 to 2017 using a basic intake model. J Expos Sci Environ Epidemiol 33(1):56-68; doi:10.1038/s41370-021-00374-w. PMID: 34373583.

East A, Dawson DE, Brady S, Vallero DA, Tornero-Velez R. 2023. A scoping assessment of implemented toxicokinetic models of per- and polyfluoro-alkyl substances, with a focus on one-compartment models. Toxics 11(2):163; doi: 10.3390/toxics11020163.

Rivera BN, Wilson LB, Kim DM, Pande P, Anderson KA, Tilton SC, Tanguay RL. 2022. A comparative multi-system approach to characterizing bioactivity of commonly occurring chemicals. Int J Environ Res Public Health 19(7):3829; doi: 10.3390/ijerph19073829.

Racz L, Rish W. 2022. Exposure monitoring toward environmental justice. Integ Environ Assess Manag 18(4):858-862; doi: 10.1002/ieam.4534.

Tornero-Velez R, Dawson D, East A, Breen M, Brady S, Vallero D, Hubal EC, Wambaugh, J. Using systematic evidence mapping to track the development of toxicokinetic models of PFAS from 2000–2021. Poster presented at Society of Toxicology 61st Annual Meeting, San Diego, CA, March 2022; doi: 10.23645/epacomptox.19333283.

East A, Dawson D, Glen G, Isaacs K, Dionisio K, Price PS, et al. 2021. The Residential Population Generator (RPGen): Parameterization of residential, demographic, and physiological data to model intraindividual exposure, dose, and risk. Toxics 9(11):303; doi: 10.3390/toxics9110303.

Yin W, Nie Z, Dingley K, Trzoss M, Krilov G, Marshall N et al. 2021. Characterization of potent paracaspase MALT1 inhibitors for hematological malignancies. Blood 138 (Supplement 1):1187; doi: 10.1182/blood-2021-153159.

Dirven H, Vist GE, Bandhakavi S, Mehta J, Fitch SE, Pound P, Ram R, Kincaid B, Leenaars CHC, Chen M, Wright RA, Tsaioun K. 2021. Performance of preclinical models in predicting drug-induced liver injury in humans: A systematic review. Sci Reports 11(1)6403; doi: https://doi.org/10.1038/s41598-021-85708-2. PMID: 33737635.

Kandarova H, Raabe H, Hilberer A, Choksi N, Allen D. Retrospective review on in vitro phototoxicity data generated in 3D skin models to support the development of new OECD test guideline. Poster presented at Society of Toxicology 60th Annual Meeting, Virtual, March 2021.

Eichenbaum G, Yang K, Gebremichael Y, Howell BA, Murray FJ, Jacobson-Kram D, Jaeschke H, Kuffner E, Gelotte CK, Lai JCK, Wikoff D, Atillasoy E. 2020. Application of the DILIsym® Quantitative Systems Toxicology drug-induced liver injury model to evaluate the carcinogenic hazard potential of acetaminophen. Regul Toxicol Pharmacol 118(Dec):104788; doi: 10.1016/j.yrtph.2020.104788.

East A, Price P, Dawson D, Glen G, Dionisio K, Isaacs K, Hubal EC, Vallero D. The Residential Population Generator (RPGen): Parameterization of residential, demographic, and physiological data to model intraindividual exposure, dose, and risk (presentation). Poster presented at Society of Environmental Toxicology and Chemistry North America 41st Annual Meeting, virtual conference, 2020. doi: 10.23645/epacomptox.13476864.

Zorn KM, Foil DH, Lane TR, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S. 2020. Comparison of machine learning models for the androgen receptor. Environ Sci Technol 54(21):13690–13700; doi: 10.1021/acs.est.0c03984. PMID: 33085465.

Walz E, Middleton J, Sampedro F, VanderWaal K, Malladi S, Goldsmith T. 2020. Modeling the transmission of foot and mouth disease to inform transportation of infected carcasses to a disposal site during an outbreak event. Front Vet Sci 6:501; doi: 10.3389/fvets.2019.00501.