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DOI | 10.1016/j.scitotenv.2017.09.033 |
High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling | |
Strope, Cory L.1,2,4; Mansouri, Kamel2,5; Clewell, Harvey J., III5; Rabinowitz, James R.2; Stevens, Caroline3; Wambaugh, John F.2 | |
发表日期 | 2018-02-15 |
ISSN | 0048-9697 |
卷号 | 615页码:150-160 |
英文摘要 | Chemical ionization plays an important role in many aspects of pharmacokinetic (PK) processes such as protein binding, tissue partitioning, and apparent volume of distribution at steady state (Vdss). Here, estimates of ionization equilibrium constants (i.e., pKa) were analyzed for 8132 pharmaceuticals and 24,281 other compounds to which humans might be exposed in the environment. Results revealed broad differences in the ionization of pharmaceutical chemicals and chemicals with either near-field (in the home) or far-field sources. The utility of these high-throughput ionization predictions was evaluated via a case-study of predicted PK Vdss for 22 compounds monitored in the blood and serumof the U.S. population by the U.S. Centers for Disease Control and Prevention National Health and Nutrition Examination Survey (NHANES). The chemical distribution ratio between water and tissue was estimated using predicted ionization states characterized by pKa. Probability distributions corresponding to ionizable atom types (IATs) were then used to analyze the sensitivity of predicted Vdss on |
英文关键词 | pKa;High throughput;Ionization;Volume of distribution;PBPK |
语种 | 英语 |
WOS记录号 | WOS:000414922600018 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/57964 |
作者单位 | 1.US EPA, Risk Assessment Div, Off Pollut Prevent & Tox, Off Chem Safety & Pollut Prevent, Washington, DC 20460 USA; 2.US EPA, Natl Ctr Computat Toxicol, Off Res & Dev, Res Triangle Pk, NC 27711 USA; 3.US EPA, Ecosyst Res Div, Natl Exposure Res Lab, Off Res & Dev, Res Triangle Pk, NC 27711 USA; 4.Hamner Inst Hlth Sci, Res Triangle Pk, NC USA; 5.ScitoVation, 6 Davis Dr,POB 110566, Res Triangle Pk, NC USA |
推荐引用方式 GB/T 7714 | Strope, Cory L.,Mansouri, Kamel,Clewell, Harvey J., III,et al. High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling[J]. 美国环保署,2018,615:150-160. |
APA | Strope, Cory L.,Mansouri, Kamel,Clewell, Harvey J., III,Rabinowitz, James R.,Stevens, Caroline,&Wambaugh, John F..(2018).High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.SCIENCE OF THE TOTAL ENVIRONMENT,615,150-160. |
MLA | Strope, Cory L.,et al."High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling".SCIENCE OF THE TOTAL ENVIRONMENT 615(2018):150-160. |
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