Publication Topic

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.

Wang Y, Mittelstaedt RA, Wynne R, Chen Y, Cao X, Muskhelishvili L, Davis K, Robison TW, et al. 2021. Genetic toxicity testing using human in vitro organotypic airway cultures: Assessing DNA damage with the CometChip and mutagenesis by duplex sequencing. Environ Mol Mutagen 62(5):306-318; doi: 10.1002/em22444.

Ring C, Sipes NS, Hsieh JH, Carberry C, Koval LE, Klaren WD, Harris MA, Auerbach SS, Rager JE. 2021. Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high throughput toxicokinetics. Comput Toxicol 18(May):100166; doi: 10.1016/j.comtox.2021.100166. PMID: 34013136.

Mansouri K, Karmaus A, Fitzpatrick J, Patlewicz G, Pradeep P, Alberga D et al. 2021. CATMoS: Collaborative acute toxicity modeling suite. Environ Health Perspect 129(4):47013; doi: 10.1289/EHP8495. PMID: 33929906.

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.

Brozek JL, Canelo-Aybar C, Akl EA, Bowen JM, Bucher J, Chiu WA, Cronin M, Djulbegovic B,…, Patlewicz G, et al. 2021. GRADE Guidelines 30: The GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making. J Clin Epidemiol 129(Jan):138-150; doi: 101016/j.jclinepi.2020.09.018. PMID: 32980429.

Marvel SW, House JS, Wheeler MW, Song K, Zhou Y-H, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. Environ Health Perspect 129(1):017701; doi: 10.1289/EHP8690. PMCID: PMC7430608

Nelms MD, Karmaus AL, Patlewicz G. 2020. An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity. Comput Toxicol 16(Nov):100135; doi: 10.1016/j.comtox.2020.100135. PMID: 33163737.

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.

Yoon M, Ring C, Van Landingham CB, Suh M, Song G, Antonijevic T, Gentry PR, Taylor MD, Keen AM, Andersen ME, Clewell JH. 2019. Assessing children’s exposure to manganese in drinking water using a PBPK model. Toxicol Appl Pharmacol 380(Oct 1):114695; doi: 10.1016/j.taap.2019.114695.

Unice KM, Weeber MP, Abramson MM, Reid RCD, van Gils JAG, Markus AA, Vethaak AD, Panko JM. 2019. Characterizing export of land-based microplastics to the estuary – Part II: Sensitivity analysis of an integrated geospatial microplastic transport modeling assessment of tire and road wear particles. Sci Tot Environ 646(Jan 1):1650–1659; doi: 10.1016/j.scitotenv.2018.08.301.

Unice KM, Weeber MP, Abramson MM, Reid RCD, van Gils JAG, Markus AA, Vethaak AD, Panko JM. 2019. Characterizing export of land-based microplastics to the estuary — Part I: Application of integrated geospatial microplastic transport models to assess tire and road wear particles in the Seine watershed. Sci Tot Environ 646(Jan 1):1639–1649; doi: 10.1016/j.scitotenv.2018.07.368.

Scott PK, Abramson MM, Bare JL, Barlow CA. 2019. Air dispersion modeling for historical community exposure reconstruction: An evaluation of the approach and its uncertainties. EM-Mag Environ Mgrs January.

Pitts E, Gearhart JM, Covington TR, Duran CM, Yamamoto DP, McKenzie-Smith D, Ott DK, Pangburn HA. Thermal stress effects on physiologically based pharmacokinetic model for Department of Defense personnel. Poster presented at the Society of Toxicology 58th Annual Meeting, Baltimore, MD, March 2019.

Covington TR. Translating an existing physiologically-based pharmacokinetic model for isopropanol from a scalar to an array format. Poster presented at the Society of Toxicology 58th Annual Meeting, Baltimore, MD, March 2019.