Application of new approach methodologies: ICE tools to support chemical evaluations
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David Allen | Nicole Kleinstreuer | Kamel Mansouri | Shannon Bell | Warren Casey | David E. Hines | Xiaoqing Chang | Agnes L. Karmaus | Jaleh Abedini | Bethany Cook | Neepa Choksi | Amber B. Daniel | David E Hines | Eric McAfee | Jason Phillips | John P. Rooney | Catherine S. Sprankle | K. Mansouri | W. Casey | S. Bell | J. Rooney | N. Kleinstreuer | X. Chang | C. Sprankle | D. Allen | N. Choksi | Jason R. Phillips | Bethany Cook | Eric McAfee | J. Abedini | A. Karmaus
[1] A M Richard,et al. An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modelling$ , 2016, SAR and QSAR in environmental research.
[2] Patience Browne,et al. Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model. , 2015, Environmental science & technology.
[3] Tao Hong,et al. The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products , 2018, Scientific Data.
[4] Robert G. Pearce,et al. httk: R Package for High-Throughput Toxicokinetics. , 2017, Journal of statistical software.
[5] R. Woodrow Setzer,et al. tcpl: the ToxCast pipeline for high‐throughput screening data , 2016, Bioinform..
[6] D. Dix,et al. The ToxCast program for prioritizing toxicity testing of environmental chemicals. , 2007, Toxicological sciences : an official journal of the Society of Toxicology.
[7] Agnes L. Karmaus,et al. An integrated chemical environment with tools for chemical safety testing. , 2020, Toxicology in vitro : an international journal published in association with BIBRA.
[8] Antony J. Williams,et al. OPERA models for predicting physicochemical properties and environmental fate endpoints , 2018, Journal of Cheminformatics.
[9] Kimberley M. Zorn,et al. CATMoS: Collaborative Acute Toxicity Modeling Suite , 2021, Environmental health perspectives.
[10] P. Mishra,et al. Additional synthesis on thiophene-containing trisubstituted methanes (TRSMs) as inhibitors of M. tuberculosis and 3D-QSAR studies , 2016, SAR and QSAR in environmental research.
[11] Antony J. Williams,et al. The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology , 2020, Chemical research in toxicology.
[12] Ann M Richard,et al. Distributed structure-searchable toxicity (DSSTox) public database network: a proposal. , 2002, Mutation research.
[13] David Allen,et al. An Integrated Chemical Environment to Support 21st-Century Toxicology , 2017, Environmental health perspectives.
[14] Ruili Huang,et al. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity , 2020, Environmental health perspectives.
[15] David M. Reif,et al. In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project , 2009, Environmental health perspectives.
[16] Ruili Huang,et al. Development and Validation of a Computational Model for Androgen Receptor Activity , 2016, Chemical research in toxicology.
[17] Antony J. Williams,et al. The CompTox Chemistry Dashboard: a community data resource for environmental chemistry , 2017, Journal of Cheminformatics.
[18] C. Austin,et al. Improving the Human Hazard Characterization of Chemicals: A Tox21 Update , 2013, Environmental health perspectives.
[19] Ruili Huang,et al. CERAPP: Collaborative Estrogen Receptor Activity Prediction Project , 2016, Environmental health perspectives.
[20] Alicia Paini,et al. In vitro to in vivo extrapolation for high throughput prioritization and decision making. , 2018, Toxicology in vitro : an international journal published in association with BIBRA.
[21] Antony J. Williams,et al. EPA’s DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research , 2019, Computational toxicology.