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Records 1 to 25 of 68 records published between 03/18/2013 and 03/18/2018 from author Kamel Mansouri

2018
Nicolas, C., K. Mansouri, P. McMullen, R. Clewell, M. Yoon, M. Phillips, G. Patlewicz, J. Wambaugh, AND H. Clewell. Applying a tiered risk-based approach to prioritizing thousands of chemicals for further evaluation: A comparison of current high throughput computational approaches. SOT 2018, San Antonio,TX, March 11 - 15, 2018. https://doi.org/10.23645/epacomptox.6837668
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
Leonard, J., H. El-Masri, C. Stevens, K. Mansouri, AND C. Tan. Integrating Exposure, Pharmacokinetics, And Dosimetry With In Vitro Dose-Response Data To Evaluate Chemical Risk. 2018 SOT Annual Meeting and ToxExpo, San Antonio, TX, March 11 - 15, 2018.
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).
Newton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, AND M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, 234:297-306, (2018).
Mansouri, K., N. Kleinstreuer, Chris Grulke, A. Richard, I. Shah, A. Williams, AND R. Judson. Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects. Presented at Society of Toxicology, San Antonio, TX, March 11 - 15, 2018. https://doi.org/10.23645/epacomptox.6837800
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).
McEachran, A., K. Mansouri, S. Newton, B. Beverley, J. Sobus, AND A. Williams. A Comparison of three chromatographic retention time prediction models (ACS 2017 Fall meeting 2 of 3). Presented at 254th American Chemical Society National Meeting, Washington, D.C, August 20 - 24, 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).
Leonard, J., D. Chang, H. El-Masri, S. Edwards, C. Stevens, K. Mansouri, P. Egeghy, AND C. Tan. A tiered approach for integrating exposure and dosimetry with in vitro dose-response data in the modern risk assessment paradigm. 254th ACS National Meeting & Exposition, Washington, DC, August 20 - 24, 2017.
McEachran, A., K. Mansouri, Chris Grulke, AND A. Williams. An open workflow to generate “MS Ready” structures and improve non-targeted mass spectrometry (ACS Fall 1 of 3). Presented at 253rd American Chemical Society Fall National Meeting, San Francisco, California, August 20 - 24, 2017.
Mansouri, K., N. Kleinstreuer, Eric Watt, J. Harris, AND R. Judson. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity (SOT). Presented at SOT, Baltimore, Maryland, March 12 - 16, 2017. https://doi.org/10.23645/epacomptox.5176876
Mansouri, K. AND R. Judson. Consensus models to predict endocrine disruption for all human-exposure chemicals (AAAS Annual Meeting). Presented at AAAS annual meeting, Boston, MA, February 16 - 20, 2017. https://doi.org/10.23645/epacomptox.5057698
Williams, A., Chris Grulke, J. Smith, K. Mansouri, A. McEachran, G. Patlewicz, J. Fitzpatrick, A. Richard, AND J. Edwards. Delivering an Informational Hub for Data at the National Center for Computational Toxicology (ACS Spring Meeting) 7 of 7. Presented at ACS Spring Meeting, San Francisco, CA, April 02 - 06, 2017. https://doi.org/10.23645/epacomptox.5063224
Mansouri, K., Chris Grulke, R. Judson, AND A. Williams. Free online access to experimental and predicted chemical properties through the EPA’s CompTox Chemistry Dashboard (ACS Spring meeting). Presented at ACS, San Francisco, California, April 02 - 06, 2017. https://doi.org/10.23645/epacomptox.5179045
Leonard, J., C. Stevens, K. Mansouri, D. Chang, AND C. Tan. Identifying Metabolically Active Chemicals Using a Consensus Quantitative Structure Activity Model for Estrogen Receptor Binding. SOT Annual Meeting, Baltimore, MD, March 12 - 16, 2017.
Leonard, J., C. Stevens, K. Mansouri, D. Chang, AND C. Tan. Identifying Metabolically Active Chemicals Using a Consensus Quantitative Structure Activity Relationship Model for Estrogen Receptor Binding. Opentox USA 2017, Durham, NC, July 12 - 13, 2017.
Wambaugh, J., B. Wetmore, K. Mansouri, B. Ingle, R. Tornero-Velez, R. Judson, K. Isaacs, K. Phillips, C. Nicolas, Woodrow Setzer, AND R. Thomas. Integrating Toxicity, Toxicokinetic, and Exposure Data for Risk-based Chemical Alternatives Assessment. International Society of Exposure Science annual meeting, Morrisville,NC, October 15 - 19, 2017.
Nicolas, C., K. Mansouri, K. Phillips, Chris Grulke, A. Richard, A. McEachran, A. Williams, J. Rabinowitz, K. Isaacs, A. Yau, AND J. Wambaugh. Measuring Physicochemical Properties to Inform the Scope of Existing QSAR/QSPR Models (SOT annual meeting). Presented at Society of Toxicology Annual Meeting, Baltimore, Maryland, March 12 - 16, 2017. https://doi.org/10.23645/epacomptox.5176699
Mansouri, K., Chris Grulke, R. Judson, AND A. Williams. OPERA: A QSAR tool for physicochemical properties and environmental fate predictions (ACS Spring meeting). Presented at ACS Spring meeting, San Francisco, California, April 02 - 06, 2017.
Trisciuzzi, D., D. Alberga, K. Mansouri, R. Judson, E. Novellino, G. Mangiatordi, AND O. Nicolotti. Predictive structure-based toxicology approaches to assess the androgenic potential of chemicals. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 57(11):2874-2884, (2017). https://doi.org/10.1021/acs.jcim.7b00420
Williams, A., T. Martin, V. Tkachenko, Chris Grulke, AND K. Mansouri. Real-time prediction of Physicochemical and Toxicological Endpoints Using the Web-based CompTox Chemistry Dashboard (ACS Fall meeting) 10 of 12. Presented at ACS Fall Meeting, Washington, DC, August 20 - 24, 2017.
Mansouri, K., J. Leonard, C. Tan, M. Yoon, P. McMullen, AND R. Clewell. Scoring and ranking of metabolic trees to computationally prioritize chemicals for testing using fit-for-purpose in vitro estrogen receptor assay. OpenTox USA 2017, Durham, NC, July 12 - 13, 2017.
Williams, A., K. Mansouri, V. Tkachenko, K. Blinov, AND Chris Grulke. The Benefits of Making Data from the EPA National Center for Computational Toxicology available for reuse (ACS Fall meeting 3 of 12). Presented at ACS Fall Meeting, Washington, DC, August 20 - 24, 2017.