Office of Research and Development Publications

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Wambaugh, J. Comment on: Dong et al. (2017) “Issues raised by the reference doses for perfluorooctonate sulfonate and perfluorooctanoic acid.”. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, Netherlands, 121(2):1372-1374, (2018). https://doi.org/10.1016/j.envint.2018.10.048

Xia, M., R. Huang, Q. Shi, W. Boyd, J. Zhao, N. Sun, J. Rice, P. Dunlap, A. Hackstadt, M. Bridge, M. Smith, S. Dai, W. Zheng, P. Chu, D. Gerhold, K. Witt, M. DeVito, J. Freeman, C. Austin, K. Houck, R. Thomas, R. Paules, R. Tice, AND A. Simeonov. Comprehensive analyses and prioritization of Tox21 10K chemicals affecting mitochondrial function by in-depth mechanistic studies. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, 126(7):1-16, (2018). https://doi.org/10.1289/EHP2589

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

Browne, P., N. Kleinstreuer, P. Ceger, C. Deisenroth, N. Baker, K. Markey, R. Thomas, R. Judson, AND W. Casey. Development of a Curated Hershberger Database. REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, 81:259-271, (2018). https://doi.org/10.1016/j.reprotox.2018.08.016

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

Bell, S., X. Chang, J. Wambaugh, D. Allen, M. Bartels, K. Brouwer, W. Casey, N. Choksi, S. Ferguson, G. Fraczkiewicz, A. Jarabek, A. Ke, A. Lumen, S. Lynn, A. Paini, Paul S Price, C. Ring, T. Simon, N. Sipes, C. Sprankle, J. Strickland, J. Troutman, B. Wetmore, AND N. Kleinstreuer. In vitro to in vivo extrapolation for high throughput prioritization and decision making. TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, 47:213-227, (2018). https://doi.org/10.1016/j.tiv.2017.11.016

Pupier, M., J. Nuzillard, J. Wist, N. Schlörer, S. Kuhn, M. Erdelyi, C. Steinbeck, A. Williams, C. Butts, T. Claridge, B. Mikhova, W. Robien, H. Dashti, H. Eghbalnia, C. Farès, C. Adam, P. Kessler, F. Moriaud, M. Elyashberg, D. Argyropoulos, M. Pérez, P. Giraudeau, R. Gil, P. Trevorrow, AND D. Jeannerat. NMReDATA, a standard to report the NMR assignment and parameters of organic compounds. Magnetic Resonance in Chemistry. John Wiley & Sons, Inc., Hoboken, NJ, 56(8):703-715, (2018). https://doi.org/10.1002/mrc.4737

Judson, R., K. Paul-Friedman, K. Houck, K. Mansouri, P. Browne, AND N. Kleinstreuer. New Approach Methods for Testing Chemicals for Endocrine Disruption Potential. Current Opinion in Toxicology. Elsevier BV, AMSTERDAM, Netherlands, 9:40-47, (2018). https://doi.org/10.1016/j.cotox.2018.10.002

Roberts, D. AND G. Patlewicz. Non‐animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated? JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, 38(1):41-50, (2017). https://doi.org/10.1002/jat.3479

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).

Kleinstreuer, N., A. Karmaus, K. Mansouri, D. Allen, J. Fitzpatrick, AND G. Patlewicz. Predictive Models for Acute Oral Systemic Toxicity: A Workshop to Bridge the Gap from Research to Regulation. Computational Toxicology. Elsevier B.V., Amsterdam, Netherlands, 8(11):21-24, (2018). https://doi.org/10.1016/j.comtox.2018.08.002

Nicolas, C., K. Mansouri, K. Phillips, Chris Grulke, A. Richard, A. Williams, J. Rabinowitz, K. Isaacs, A. Yau, AND J. Wambaugh. Rapid Experimental Estimates of Physicochemical Properties to Inform Models and Testing. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 636:901-909, (2018). https://doi.org/10.1016/j.scitotenv.2018.04.266

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

Phillips, K., A. Yau, K. Favela, K. Isaacs, A. McEachran, Chris Grulke, A. Richard, A. Williams, J. Sobus, R. Thomas, AND J. Wambaugh. Suspect Screening Analysis of Chemicals in Consumer Products. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 52(5):3125-3135, (2018). https://doi.org/10.1021/acs.est.7b04781

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

Patlewicz, G., J. Wambaugh, S. Felter, T. Simon, AND R. Becker. Utilizing Threshold of Toxicological Concern (TTC) with High Throughput Exposure Predictions (HTE) as a Risk-Based Prioritization Approach for thousands of chemicals. Computational Toxicology. Elsevier B.V., Amsterdam, Netherlands, 7:58-67, (2018). https://doi.org/10.1016/j.comtox.2018.07.002

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