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Records 26 to
50
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2018
Mahapatra, D., Jill A. Franzosa, K. Roell, M. Kuenemann, Keith A. Houck, D. Reif, D. Fourches, AND S. Kullman. Confirmation of High-Throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays. Scientific Reports. Nature Publishing Group, London, Uk, 8(8883):1-16, (2018). https://doi.org/10.1038/s41598-018-27055-3
Wambaugh, J., M. Hughes, C. Ring, D. MacMillan, J. Ford, T. Fennell, S. Black, R. Snyder, N. Sipes, B. Wetmore, J. Westerhout, Woodrow Setzer, R. Pearce, J. Simmons, AND R. Thomas. Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163(1):152-169, (2018). https://doi.org/10.1093/toxsci/kfy020
Medvedev, A., M. Moeser, L. Medvedeva, E. Martsen, A. Granick, L. Raines, M. Zeng, S. Makarov Jr., K. Houck, AND S. Makarov. Evaluating biological activity of compounds by transcription factor activity profiling. Science Advances. American Association for the Advancement of Science (AAAS), Washington, DC, 4(9):eaar4666, (2018).
Kleinstreuer, N., P. Browne, X. Chang, R. Judson, W. Casey, P. Ceger, C. Deisenroth, N. Baker, K. Markey, AND R. Thomas. Evaluation of Androgen Assay Results Using a Curated Hershberger Database. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, 81:272-280, (2018). https://doi.org/10.1016/j.reprotox.2018.08.017
Helman, G., I. Shah, AND G. Patlewicz. Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance. Computational Toxicology. Elsevier B.V., Amsterdam, Netherlands, 8:34-50, (2018). https://doi.org/10.1016/j.comtox.2018.07.001
Strope, C., K. Mansouri, H. Clewell, J. Rabinowitz, C. Stevens, AND J. Wambaugh. High-Throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, Netherlands, 615:150-160, (2018). https://doi.org/10.1016/j.scitotenv.2017.09.033
Haggard, D., A. Karmaus, M. Martin, R. Judson, Woodrow Setzer, AND K. Paul-Friedman. High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 162(2):509-534, (2018). https://doi.org/10.1093/toxsci/kfx274
Watford, S., R. Grashow, V. De La Rosa, R. Rudel, K. Paul-Friedman, AND M. Martin. Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: Use case in breast carcinogenesis. Computational Toxicology. Elsevier B.V., Amsterdam, Netherlands, 7:46-57, (2018). https://doi.org/10.1016/j.comtox.2018.06.003
Mansouri, K., C. Grulke, R. Judson, AND A. Williams. OPERA models for predicting physicochemical properties and environmental fate endpoints. Journal of Cheminformatics. Springer, New York, NY, 10:10, (2018). https://doi.org/10.1186/s13321-018-0263-1
Truong, L., G. Ouedraogo, L. Pham, J. Clouzeau, S. Loisel-Joubert, D. Blanchet, H. Noçairi, Woodrow Setzer, R. Judson, Chris Grulke, K. Mansouri, AND M. Martin. Predicting In Vivo Effect Levels for Repeat Dose Systemic Toxicity using Chemical, Biological, Kinetic and Study Covariates. Archives of Toxicology. Springer, New York, NY, 92(2):587-600, (2018).
Scialli, A., G. Daston, C. Chen, P. Coder, S. Euling, J. Foreman, A. Hoberman, J. Hui, T. Knudsen, S. Makris, L. Morford, A. Piersma, D. Stanislaus, AND K. Thompson. Rethinking Developmental Toxicity Testing: Evolution or Revolution? Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, 110(10):840-850, (2018). https://doi.org/10.1002/bdr2.1212
Watt, Eric AND R. Judson. Uncertainty Quantification in ToxCast High Throughput Screening. PLOS Computational Biology. Public Library of Science, San Francisco, CA, 13(7):1-23, (2018). https://doi.org/10.1371/journal.pone.0196963
Chiu, W., K. Guyton, M. Martin, D. Reif, AND I. Rusyn. Use of High-throughput in vitro toxicity screening data in cancer hazard evaluations by the IARC Monograph Working Groups. ALTEX. Society ALTEX Edition, Kuesnacht, Switzerland, 35(1):51-64, (2018). https://doi.org/10.14573/altex.1703231
Nguyen, E., W. Daly, N. Le, M. Farnoodian, D. Belair, M. Schwartz, C. Lebakken, G. Ananiev, M. Saghiri, T. Knudsen, N. Sheibani, AND W. Murphy. Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion. Nature Communications. Nature Publishing Group, London, Uk, 1(0096):1-34, (2018). https://doi.org/10.1038/s41551-017-0096
DeGroot, D., A. Swank, R. Thomas, M. Strynar, M. Lee, P. Carmichael, AND Steve Simmons. mRNA transfection retrofits cell-based assays with xenobiotic metabolism. JOURNAL OF PHARMACOLOGICAL & TOXICOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, 92:77-94, (2018). https://doi.org/10.1016/j.vascn.2018.03.002
2017
McCollum, C., J. Conde Vancells, C. Hans, M. Vazquez-Chantada, N. Kleinstreuer, T. Tal, T. Knudsen, S. Shah, F. Merchant, R. Finnell, J. Gustafsson, R. Cabrera, AND M. Bondesson. Identification of vascular disruptor compounds by analysis in zebrafish embryos and mouse embryonic endothelial cells. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, 70:60-69, (2017).
Zang, Q., K. Mansouri, A. Williams, R. Judson, D. Allen, W. Casey, AND N. Kleinstreuer. In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 57(1):36-49, (2017).
Pradeep, P., K. Mansouri, G. Patlewicz, AND R. Judson. A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols. Computational Toxicology. Elsevier B.V., Amsterdam, Netherlands, 4:22-30, (2017).
Sipes, N., J. Wambaugh, R. Pearce, S. Auerbach, B. Wetmore, J. Hsieh, A. Shapiro, D. Sboboda, M. DeVito, AND S. Ferguson. An Intuitive Approach for Predicting Human Risk with the Tox21 10k Library. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, (51):10786-10796, (2017).
Sauer, S., M. Tarpley, I. Shah, A. Save, H. Lyerly, S. Patierno, K. Williams, AND G. Devi. Bisphenol A activates EGFR and ERK promoting proliferation, tumor spheroid formation and resistance to EGFR pathway inhibition in estrogen receptor negative inflammatory breast cancer cells. CARCINOGENESIS. Oxford University Press, Cary, NC, 38(3):252–260, (2017).
Saili, K., T. Zurlinden, A. Schwab, A. Silvin, N. Baker, S. Hunter, F. Ginhoux, AND T. Knudsen. Blood-Brain Barrier Development: Systems Modeling and Predictive Toxicology. Birth Defects Research, Part C: Embryo Today: Reviews. John Wiley & Sons, Ltd., Indianapolis, IN, 109(20):1680-1710, (2017). https://doi.org/10.1002/bdr2.1180
Kleinstreuer, N., P. Ceger, Eric Watt, M. Martin, K. Houck, P. Browne, R. Thomas, W. Casey, D. Dix, D. Allen, S. Sakamuru, M. Xia, R. Huang, AND R. Judson. Development and Validation of a Computational Model for Androgen Receptor Activity. CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, 30(4):946-964, (2017).
Pearce, R., Woodrow Setzer, C. Strope, N. Sipes, AND J. Wambaugh. HTTK: R Package for High-Throughput Toxicokinetics. Journal of Statistical Software. American Statistical Association, Alexandria, VA, 79(4):1-26, (2017).
Lynch, C., S. Sakamuru, R. Huang, D. Stavea, L. Varticovski, G. Hager, Richard S. Judson, Keith A. Houck, N. Kleinstreuer, W. Casey, R. Paules, A. Simeonov, AND M. Xia. Identifying Environmental Chemicals as Agonists of the Androgen Receptor by Applying a Quantitative High-throughput Screening Platform. TOXICOLOGY. Elsevier Science Ltd, New York, NY, 385:48-58, (2017).
Ring, C., R. Pearce, Woodrow Setzer, B. Wetmore, AND J. Wambaugh. Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, 106:105-118, (2017).