| Navigating through the minefield of read-across tools: A review of in silico tools for grouping G Patlewicz, G Helman, P Pradeep, I Shah Computational Toxicology 3, 1-18, 2017 | 100 | 2017 |
| CATMoS: collaborative acute toxicity modeling suite K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ... Environmental health perspectives 129 (4), 047013, 2021 | 96 | 2021 |
| An ensemble model of QSAR tools for regulatory risk assessment P Pradeep, RJ Povinelli, S White, SJ Merrill Journal of cheminformatics 8, 1-9, 2016 | 71 | 2016 |
| Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels LL Pham, SM Watford, P Pradeep, MT Martin, RS Thomas, RS Judson, ... Computational Toxicology 15, 100126, 2020 | 48 | 2020 |
| Using chemical structure information to develop predictive models for in vitro toxicokinetic parameters to inform high-throughput risk-assessment P Pradeep, G Patlewicz, R Pearce, J Wambaugh, B Wetmore, R Judson Computational Toxicology 16, 100136, 2020 | 27 | 2020 |
| Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study F Webster, M Gagné, G Patlewicz, P Pradeep, N Trefiak, RS Judson, ... Regulatory Toxicology and Pharmacology 106, 278-291, 2019 | 24 | 2019 |
| Structure-based QSAR models to predict repeat dose toxicity points of departure P Pradeep, KP Friedman, R Judson Computational Toxicology 16, 100139, 2020 | 21 | 2020 |
| Estimating uncertainty in the context of new approach methodologies for potential use in chemical safety evaluation LL Pham, TY Sheffield, P Pradeep, J Brown, DE Haggard, J Wambaugh, ... Current Opinion in Toxicology 15, 40-47, 2019 | 21 | 2019 |
| A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols P Pradeep, K Mansouri, G Patlewicz, R Judson Computational Toxicology 4, 22-30, 2017 | 20 | 2017 |
| A machine learning model to estimate toxicokinetic half-lives of per-and polyfluoro-alkyl substances (PFAS) in multiple species DE Dawson, C Lau, P Pradeep, RR Sayre, RS Judson, R Tornero-Velez, ... Toxics 11 (2), 98, 2023 | 19 | 2023 |
| Evaluating potential refinements to existing Threshold of Toxicological Concern (TTC) values for environmentally-relevant compounds MD Nelms, P Pradeep, G Patlewicz Regulatory Toxicology and Pharmacology 109, 104505, 2019 | 19 | 2019 |
| Integrating endocrine-related health effects into comparative human toxicity characterization Y Emara, P Fantke, R Judson, X Chang, P Pradeep, A Lehmann, ... Science of the Total Environment 762, 143874, 2021 | 15 | 2021 |
| Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls P Pradeep, LM Carlson, R Judson, GM Lehmann, G Patlewicz Regulatory Toxicology and Pharmacology 101, 12-23, 2019 | 15 | 2019 |
| An evaluation of existing QSAR models and structural alerts and development of new ensemble models for genotoxicity using a newly compiled experimental dataset P Pradeep, R Judson, DM DeMarini, N Keshava, TM Martin, J Dean, ... Computational Toxicology 18, 100167, 2021 | 14 | 2021 |
| Deriving a provisional tolerable intake for intravenous exposure to silver nanoparticles released from medical devices LC Savery, R Vinas, AM Nagy, P Pradeep, SJ Merrill, AM Hood, ... Regulatory Toxicology and Pharmacology 85, 108-118, 2017 | 14 | 2017 |
| Novel uses of in vitro data to develop quantitative biological activity relationship models for in vivo carcinogenicity prediction P Pradeep, RJ Povinelli, SJ Merrill, S Bozdag, DS Sem Molecular Informatics 34 (4), 236-245, 2015 | 11 | 2015 |
| A novel scoring based distributed protein docking application to improve enrichment P Pradeep, C Struble, T Neumann, DS Sem, SJ Merrill IEEE/ACM transactions on computational biology and bioinformatics 12 (6 …, 2015 | 10 | 2015 |
| Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM2.5 and mortality LK Baxter, K Dionisio, P Pradeep, K Rappazzo, L Neas Journal of exposure science & environmental epidemiology 29 (4), 557-567, 2019 | 5 | 2019 |
| Use of QSAR modeling to predict the carcinogenicity of color additives R Brown, S White, J Goode, P Pradeep, S Merrill Frontiers in Biomedical Devices 56000, V001T10A044, 2013 | 5 | 2013 |
| Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study … G Patlewicz, JL Dean, CF Gibbons, RS Judson, N Keshava, L Vegosen, ... Computational Toxicology 20, 100185, 2021 | 4 | 2021 |
Richard JudsonUS EPA, Center for Computational Toxicology and Exposure在 epa.gov 的电子邮件经过验证
![Kamel Mansouri [orcid:0000-0002-6426-8036]](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=Mu3Ya3QAAAAJ&citpid=6)
