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1.
Machine Learning Prediction of the Three Main Input Parameters of a Simplified Physiologically Based Pharmacokinetic Model Subsequently Used to Generate Time-Dependent Plasma Concentration Data in Humans after Oral Doses of 212 Disparate Chemicals.
Biol Pharm Bull
; 45(1): 124-128, 2022 Jan 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34732590
2.
In Silico Prediction of Input Parameters for Simplified Physiologically Based Pharmacokinetic Models for Estimating Plasma, Liver, and Kidney Exposures in Rats after Oral Doses of 246 Disparate Chemicals.
Chem Res Toxicol
; 34(2): 507-513, 2021 02 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-33433197
3.
An Updated In Silico Prediction Method for Volumes of Systemic Circulation of 323 Disparate Chemicals for Use in Physiologically Based Pharmacokinetic Models to Estimate Plasma and Tissue Concentrations after Oral Doses in Rats.
Chem Res Toxicol
; 34(10): 2180-2183, 2021 10 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-34586804
4.
Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure-Activity Relationship System.
Int J Mol Sci
; 22(19)2021 Oct 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34639159
5.
Correction to "An Updated In Silico Prediction Method for Volumes of Systemic Circulation of 323 Disparate Chemicals for Use in Physiologically Based Pharmacokinetic Models to Estimate Plasma and Tissue Concentrations after Oral Doses in Rats".
Chem Res Toxicol
; 35(8): 1433, 2022 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-35905009
6.
Prediction of permeability across intestinal cell monolayers for 219 disparate chemicals using in vitro experimental coefficients in a pH gradient system and in silico analyses by trivariate linear regressions and machine learning.
Biochem Pharmacol
; 192: 114749, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34461115
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