2022
DOI: 10.1021/acs.chemrestox.2c00225
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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”

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“…The values of Fa•Fg and ka, V1, and CLh,int for the 56 food chemicals tested were generated in silico using estimation methods based on physicochemical properties, 10,20) as shown in Table 1.…”
Section: Resultsmentioning
confidence: 99%
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“…The values of Fa•Fg and ka, V1, and CLh,int for the 56 food chemicals tested were generated in silico using estimation methods based on physicochemical properties, 10,20) as shown in Table 1.…”
Section: Resultsmentioning
confidence: 99%
“…The input parameters for the rat PBPK models (i.e., FaFg, ka, V1, and CLh,int) were calculated using chemical descriptors calculated in silico, 10,20) as shown in Table 1. The hepatic and plasma Cmax and AUC values of a variety of food chemicals were estimated using simplified PBPK models consisting of chemical receptor (gut), metabolizing (liver), excreting (kidney), and central (main) compartments with two sets of FaFg values, namely, in silico estimation based on the in vitro permeability (FaFg, Caco-2 model) 21) or derived from the direct machine learning system with no reference to empirical values (FaFg, machine learning), 12) as described previously.…”
Section: Methodsmentioning
confidence: 99%
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