Office of Research and Development Publications

National Risk Management Research Laboratory (NRMRL) Research Publications

Refine Your Search

Search Again

or try advanced search

Search Within

Records 1 to 25 of 53 records from [ORD-NRMRL] from author Todd Martin

2020
Vegosen, L. AND Todd M. Martin. An automated framework for compiling and integrating chemical hazard data. CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, 22:441-458, (2020). https://doi.org/10.1007/s10098-019-01795-w
Harten, P., T. Martin, M. Gonzalez, AND D. Young. The software tool to find greener solvent replacements, PARIS III. Environmental Progress & Sustainable Energy. American Institute of Chemical Engineers, New York, NY, 39(1):13331, (2020). https://doi.org/10.1002/ep.13331
2019
Barrett, W., S. Takkellapati, K. Tadele, T. Martin, AND M. Gonzalez. Application of Chemical Informatics to Alternatives Assessment. ACS Spring National Meeting & Expostition 2019, Orlando, Florida, March 31 - April 04, 2019.
Vegosen, L. AND T. Martin. Development of the Alternatives Assessment Dashboard (Orlando). ACS National Meeting & Expo, Orlando, Florida, March 31 - April 04, 2019.
Barrett, W., S. Takkellapati, K. Tadele, T. Martin, AND M. Gonzalez. Linking Molecular Structure via Functional Group to Chemical Literature for Establishing a Reaction Lineage for Application to Alternatives Assessment. ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, 7(8):7630-7641, (2019). https://doi.org/10.1021/acssuschemeng.8b05983
Martin, T., A. Williams, AND V. Tkachenko. Prediction of Toxicity using WebTEST (Web-services Toxicity Estimation Software Tool). ACS National Meeting & Expo, Orlando, Florida, March 31 - April 04, 2019.
Vegosen, L. AND T. Martin. User’s Guide for the Alternatives Assessment Dashboard (AA Dashboard). U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-19/145, 2019.
2018
Martin, T. AND L. Vegosen. Development of the Alternatives Assessment Dashboard. ICOSSE, Cincinnati, Ohio, August 12 - 15, 2018.
Barrett, William.M, S. Takkellapati, K. Tadele, T. Martin, AND M. Gonzalez. Linking Molecular Structure to Functional Group and Chemical Literature Using a Chemical Reaction Database. 2018 AIChE Annual Meeting, Pittsburg, PA, October 28 - November 02, 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., 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.
Barrett, W., S. Takkellapati, K. Tadele, T. Martin, AND M. Gonzalez. Supporting Chemical Alternative Assessment via Synthesis Information Based On Chemical Structure Using a Name Reaction Database. 7th International Congress on Sustainability Science & Engineering, Cincinnati, Ohio, August 12 - 15, 2018.
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. 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
2016
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).
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).
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).
MARTIN, T. M. AND D. M. YOUNG. Environmental Optimization Using the WAste Reduction Algorithm (WAR). U.S. Environmental Protection Agency, Washington, DC, EPA/600/F-11/027, 2012.