Science Inventory

Records 1 to 23 of 23 records published between 07/16/2013 and 07/16/2018 from author Todd Martin

Martin, T., A. Williams, AND V. Tkachenko. Prediction of toxicity and comparison of alternatives using WebTEST (Web-services Toxicity Estimation Software Tool)(Bled Slovenia). To be Presented at 18th International Conference on QSAR, Bled, N/A, SLOVENIA, June 11 - 15, 2018.
Martin, T., A. Williams, AND V. Tkachenko. Prediction of toxicity and comparison of alternatives using WebTEST (Web-services Toxicity Estimation Software Tool). QSAR 2018, Bled, N/A, SLOVENIA, June 11 - 15, 2018.
Martin, T., C. Lilavois, AND M. Barron. Prediction of pesticide acute toxicity using two-dimensional chemical descriptors and target species classification. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 28(6):525-539, (2017). https://doi.org/10.1080/1062936X.2017.1343204
Martin, T. Overview of T.E.S.T. (Toxicity Estimation Software Tool). Topics on Data Mining and QSPR: theory, applications, and publishing, Mexico CityM, June 18 - 21, 2017.
Martin, T. Generation of GHS Scores from TEST and online sources. Topics on Data Mining and QSPR: Theory, Applications, and Publishing Conference, Mexico CityM, June 18 - 21, 2017.
Martin, T. Generation of Alternative Assessment Scores using TEST and online data sources. 253rd A,merican Chemical Society National Meeting, San Francisco, CA, April 02 - 06, 2017.
Martin, T. A framework for an alternatives assessment dashboard for evaluating chemical alternatives applied to flame retardants for electronic applications. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, 19(4):1067-1086, (2017). https://doi.org/10.1007/s10098-016-1300-2
Williams, A., Chris Grulke, K. Mansouri, K. Dionisio, K. Phillips, G. Patlewicz, I. Shah, K. Isaacs, T. Martin, J. Wambaugh, A. Richard, AND R. Judson. The US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for chemical sources of risk. Presented at American Chemical Society Spring meeting, New Orleans, LA, March 18 - 22, 2018.
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.
Williams, A., Chris Grulke, J. Smith, K. Mansouri, A. McEachran, A. Richard, J. Edwards, J. Sobus, K. Dionisio, K. Phillips, AND T. Martin. The EPA Comptox Chemistry Dashboard . (BOSC). Presented at BOSC CSS Meeting, RTP, NC, November 16 - 18, 2016. https://doi.org/10.23645/epacomptox.5179072
Carriger, J., T. Martin, AND M. Barron. A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors-abstract. SETAC North America 37th Annual Meeting, Orlando, FL, November 06 - 10, 2016.
Carriger, J., T. Martin, AND M. Barron. A Bayesian network model for predicting aquatic toxicity mode of action using two dimensional theoretical molecular descriptors. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, 180:11-24, (2016).
Martin, T. Toxicity Estimation Software Tool (TEST). U.S. Environmental Protection Agency, Washington, DC, 2016.
Martin, T. User’s Guide for T.E.S.T. (version 4.2) (Toxicity Estimation Software Tool) A Program to Estimate Toxicity from Molecular Structure. US EPA Office of Research and Development, Washington, DC, EPA/600/R-16/058, 2016.
Williams, A., K. Mansouri, T. Martin, Christopher M. Grulke, John F. Wambaugh, R. Judson, A. Richard, G. Patlewicz, AND I. Shah. Data Aggregation, Curation and Modeling Approaches to Deliver Prediction Models to Support Computational Toxicology at the EPA (ACS Fall meeting). Presented at ACS Fall Meeting, Phildelphia, PA, August 21 - 25, 2016.
Williams, A., K. Mansouri, T. Martin, Chris Grulke, J. Wambaugh, R. Judson, G. Patlewicz, I. Shah, AND A. Richard. Delivering The Benefits of Chemical-Biological Integration in Computational Toxicology at the EPA (ACS Fall meeting). Presented at ACS Fall Meeting, Phildelphia, PA, August 21 - 25, 2016. https://doi.org/10.23645/epacomptox.5058490
Martin, T. Prediction of in vitro and in vivo oestrogen receptor activity using hierarchical clustering. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, 27(1):17-30, (2016).
Barron, M., C. Lilavois, AND T. Martin. MOAtox: A comprehensive mode of action and acute aquatic toxicity database for predictive model development (SETAC abstract). SETAC North America 36th Annual Meeting, Salt Lake City, UT, November 01 - 05, 2015.
Barron, M., CrystalR Jackson, AND T. Martin. MOAtox: A Comprehensive Mode of Action and Acute Aquatic Toxicity Database for Predictive Model Development. AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, 161:102-107, (2015).
Martin, T., D. Young, CrystalR Jackson, AND M. Barron. Comparison of Global and Mode of Action-Based Models for Aquatic Toxicity. Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 26(3):245-262, (2015).
Barron, M., T. Martin, Chris Grulke, D. Young, C. Russom, N. Wang, AND CrystalR Jackson. Computational Chemistry-based Acute Aquatic Toxicity Mode of Action Assignment. SETAC North America 35th Annual Meeting, Vancouver, British Columbia, CANADA, November 09 - 13, 2014.
Martin, T. M., Chris M. Grulke, D. M. Young, C. L. Russom, N. Y. Wang, C. R. Jackson, AND M. G. Barron. Prediction of aquatic toxicity mode of action using linear discriminant and random forest models. Journal of Chemical Information and Modeling. ACS Publications, Washington, DC, 53(9):2229-2239, (2013).
Benfenati, E., S. Pardoe, AND T. Martin. Using Toxicological Evidence from QSAR Models in Practice. ALTEX. Society ALTEX Edition, Kuesnacht, Switzerland, , 01-40, (2013).