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McEachran, A., K. Mansouri, S. Newton, B. Beverly, J. Sobus, AND A. Williams. A comparison of three liquid chromatography (LC) retention time prediction models. TALANTA. Elsevier Science Ltd, New York, NY, 182:371-379, (2018). https://doi.org/10.1016/j.talanta.2018.01.022

Fitzpatrick, J., D. Roberts, AND G. Patlewicz. An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 29(6):439-468, (2018). https://doi.org/10.1080/1062936X.2018.1455223

Baker, N., A. Boobis, L. Burgoon, E. Carney, R. Currie, E. Fritsche, T. Knudsen, M. Laffont, A. Piersma, A. Poole, S. Schneider, AND G. Daston. Building a Developmental Toxicity Ontology. BIRTH DEFECTS RESEARCH PART B: DEVELOPMENTAL AND REPRODUCTIVE TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, 110(6):502-518, (2018). https://doi.org/10.1002/bdr2.1189

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

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

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

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).

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

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

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).

Kapraun, Dustin F., John F. Wambaugh, C. Ring, R. Tornero-Velez, AND R. Woodrow Setzer. A Method for Identifying Prevalent Chemical Combinations in the US Population. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, 125(8):1-16, (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).

Baker, N., T. Knudsen, AND A. Williams. Abstract Sifter: a comprehensive front-end system to PubMed. F1000 Research. Faculty of 1000, London, Uk, 6:1-10, (2017). https://doi.org/10.12688/f1000research.12865.1

Malloy, T., V. Zaunbrecher, E. Beryt, R. Judson, R. Tice, P. Allard, A. Blake, I. Cote, H. Godwin, L. Heine, P. Kerzic, J. Kostal, G. Marchant, J. McPartland, K. Moran, A. Nel, O. Ogunseitan, M. Rossi, K. Thayer, J. Tickner, M. Whittaker, AND K. Zarker. Advancing Alternatives Analysis: The Role of Predictive Toxicology in Selecting Safer Chemical Products and Processes. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, 13(5):915-925, (2017). https://doi.org/10.1002/ieam.1923

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).

Fitzpatrick, J. AND G. Patlewicz. Application of IATA - A case study in evaluating the global and local performance of a Bayesian Network model for Skin Sensitization. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 28(4):297-310, (2017).