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Records 1 to
21
of 21 records published between 10/07/2012 and 10/07/2017 from author Todd Martin
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
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. 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. 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., 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
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.
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).
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.
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).
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
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. U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-16/058, 2016.
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., 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).
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.
2014
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.
Benfenati, E., S. Pardoe, AND T. Martin. Using Toxicological Evidence from QSAR Models in Practice. ALTEX. Society ALTEX Edition, Kuesnacht, Switzerland, , 01-40, (2013).
2013
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).
2012
Martin, T. M., P. Harten, D. M. Young, E. N. Muratov, A. Golbraikh, H. Zhu, AND A. Tropsha. Does Rational Selection of Training and Test Sets Improve the Outcome of QSAR Modeling? Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, 52(10):2570-2578, (2012).