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Pradeep, Prachi
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1

A Machine Learning Model to Estimate Toxicokinetic Half-Liv..:

Dawson, Daniel E. ; Lau, Christopher ; Pradeep, Prachi...
Toxics.  11 (2023)  2 - p. 98 , 2023
Link: https://doi.org/10.3390/..
 
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2

Integrating publicly available information to screen potent..:

Patlewicz, Grace ; Dean, Jeffry L. ; Gibbons, Catherine F....
Computational Toxicology.  20 (2021)  - p. 100185 , 2021
Link: https://doi.org/10.1016/..
 
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3

An evaluation of existing QSAR models and structural alerts..:

Pradeep, Prachi ; Judson, Richard ; DeMarini, David M....
Computational Toxicology.  18 (2021)  - p. 100167 , 2021
Link: https://doi.org/10.1016/..
 
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Integrating endocrine-related health effects into comparati..:

Emara, Yasmine ; Fantke, Peter ; Judson, Richard...
Science of The Total Environment.  762 (2021)  - p. 143874 , 2021
Link: https://doi.org/10.1016/..
 
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5

Using chemical structure information to develop predictive ..:

Pradeep, Prachi ; Patlewicz, Grace ; Pearce, Robert...
Computational Toxicology.  16 (2020)  - p. 100136 , 2020
Link: https://doi.org/10.1016/..
 
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6

Structure-based QSAR models to predict repeat dose toxicity..:

Pradeep, Prachi ; Paul Friedman, Katie ; Judson, Richard
Computational Toxicology.  16 (2020)  - p. 100139 , 2020
Link: https://doi.org/10.1016/..
 
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7

Variability in in vivo studies: Defining the upper limit of..:

Pham, Ly Ly ; Watford, Sean M. ; Pradeep, Prachi...
Computational Toxicology.  15 (2020)  - p. 100126 , 2020
Link: https://doi.org/10.1016/..
 
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8

Integrating data gap filling techniques: A case study predi..:

Pradeep, Prachi ; Carlson, Laura M. ; Judson, Richard..
Regulatory Toxicology and Pharmacology.  101 (2019)  - p. 12-23 , 2019
Link: https://doi.org/10.1016/..
 
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9

Predicting estrogen receptor activation by a group of subst..:

Webster, Francina ; Gagné, Matthew ; Patlewicz, Grace...
Regulatory Toxicology and Pharmacology.  106 (2019)  - p. 278-291 , 2019
Link: https://doi.org/10.1016/..
 
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10

Estimating uncertainty in the context of new approach metho..:

Pham, Ly Ly ; Sheffield, Thomas Y. ; Pradeep, Prachi...
Current Opinion in Toxicology.  15 (2019)  - p. 40-47 , 2019
Link: https://doi.org/10.1016/..
 
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11

Evaluating potential refinements to existing Threshold of T..:

Nelms, Mark D. ; Pradeep, Prachi ; Patlewicz, Grace
Regulatory Toxicology and Pharmacology.  109 (2019)  - p. 104505 , 2019
Link: https://doi.org/10.1016/..
 
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12

Human exposure factors as potential determinants of the het..:

Baxter, Lisa K. ; Dionisio, Kathie ; Pradeep, Prachi..
Journal of Exposure Science & Environmental Epidemiology.  29 (2018)  4 - p. 557-567 , 2018
Link: https://doi.org/10.1038/..
 
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13

Navigating through the minefield of read-across tools: A re..:

Patlewicz, Grace ; Helman, George ; Pradeep, Prachi.
Computational Toxicology.  3 (2017)  - p. 1-18 , 2017
Link: https://doi.org/10.1016/..
 
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14

A systematic evaluation of analogs and automated read-acros..:

Pradeep, Prachi ; Mansouri, Kamel ; Patlewicz, Grace.
Computational Toxicology.  4 (2017)  - p. 22-30 , 2017
Link: https://doi.org/10.1016/..
 
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15

Deriving a provisional tolerable intake for intravenous exp..:

Savery, Laura C. ; Viñas, René ; Nagy, Amber M....
Regulatory Toxicology and Pharmacology.  85 (2017)  - p. 108-118 , 2017
Link: https://doi.org/10.1016/..
 
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