데이터셋 상세
미국
PKQuest: a general physiologically based pharmacokinetic model. Introduction and application to propranolol
Background A "physiologically based pharmacokinetic" (PBPK) approach uses a realistic model of the animal to describe the pharmacokinetics. Previous PBPKs have been designed for specific solutes, required specification of a large number of parameters and have not been designed for general use. Methods This new PBPK program (PKQuest) includes a "Standardhuman" and "Standardrat" data set so that the user input is minimized. It has a simple user interface, graphical output and many new features: 1) An option that uses the measured plasma concentrations to solve for the time course of the gastrointestinal, intramuscular, intraperotineal or skin absorption and systemic availability of a drug – for a general non-linear system. 2) Capillary permeability limitation defined in terms of the permeability-surface area products. 4) Saturable plasma and tissue protein binding. 5) A lung model that includes perfusion-ventilation mismatch. 6) A general optimization routine using either a global (simulated annealing) or local (Powell) minimization applicable to all model parameters. Results PKQuest was applied to measurements of human propranolol pharmacokinetics and intestinal absorption. A meal has two effects: 1) increases portal blood flow by 50%; and 2) decreases liver metabolism by 20%. There is a significant delay in the oval propranolol absorption in fasting subjects that is absent in fed subjects. The oral absorption of the long acting form of propranolol continues for a period of more than 24 hours. Conclusions PKQuest provides a new general purpose, easy to use, freely distributed and physiologically rigorous PBPK software routine.
데이터 정보
연관 데이터
Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling
공공데이터포털
Generic physiologically-based pharmacokinetic (PBPK) models were used to explore how saturable absorption or clearance can influence the shape of the internal to external concentration (IEC) relationship. The models were used for hypothetical chemicals to show how differences in kinetic parameters can impact the shape of an IEC relationship; and the models for styrene and caffeine were used to explore how exposure route, frequency, and duration impact the IEC relationships in rat and human exposures. We also analyzed available plasma concentration data for 2,4-dichlorophenoxyacetic acid (data from Saghir et al. 2013; https://doi.org/10.1093/toxsci/kft212) to demonstrate how a PBPK modeling approach can be an alternative to common statistical methods for analyzing dose proportionality. These files contain the model code and utilized parameters for each of these case studies as well as a link to the publicly available dataset from Saghir et al. 2013 (https://doi.org/10.1093/toxsci/kft212). Citation information for this dataset can be found in Data.gov's References section.
Source Code for Evaluating Impact of Anatomical and Physiological Variability on Human Equivalent Doses Using PBPK Models
공공데이터포털
The dataset includes source code that was used to perform analyses described in the manuscript "Evaluating Impact of Anatomical and Physiological Variability on Human Equivalent Doses Using PBPK Models" by Schacht et al.
PFAS PBPK Template Model
공공데이터포털
The data set includes source code that implements a PBPK template model applicable to PFAS. It includes data digitized from Kim et al. (2018), Kim et al. (2019), and Loccisano et al. (2012) used to show the capability of the template to replicate published PFAS PBPK models. The template model is described in a paper that is in review at the journal Toxicological Sciences.
PBPK Model Template Extension to VOCs
공공데이터포털
The data set includes source code that implements a PBPK model template that has been extended with features capable of implementing models for volatile organic compounds (VOCs). It also includes data from the U.S. EPA IRIS assessments for DCM (2011) and methanol (2013) and data from Sasso et al. (2013), Ramsey and Andersen (1984), and Yoon et al. (2007) used to show the ability of the template to replicate published VOC PBPK models. The extension of the model template is described in a paper that will be submitted to the journal Toxicological Sciences.
PBPK modeloutputs readme
공공데이터포털
Contains values from pbpk models for each study on n-butanol effects. This dataset is associated with the following publication: Segal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).
Medicines, Technologies and Pharmaceutical Services (MTaPS) Program Monitoring 2023 PY5Q3 Dataset
공공데이터포털
This dataset contains the performance monitoring data for the Medicines, Technologies and Pharmaceutical Services (MTaPS) program from project year 5 quarter 3, which covered the period from April to June 2023. The purpose of this data is to measure the performance of the MTaPS program against program targets in order to determine the results of activity implementation and plan future activities.
Compound 528721: Pyridine, 4-methyl-3-propyl
공공데이터포털
Chemical compound data from PubChem database. IUPAC Name: 4-methyl-3-propylpyridine. Molecular Formula: C9H13N. Molecular Weight: 135.21. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling
공공데이터포털
Estimates of ionization equilibrium constants (i.e., pKa) were analyzed for 8,132 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. Probability distributions corresponding to ionizable atom types (IATs) were then used to analyze the sensitivity of predicted Vdss on predicted pKa using Monte Carlo methods. 8 of the 22 compounds were predicted to be ionizable. For 5 of the 8 the predictions based upon ionization are significantly different from what would be predicted for a neutral compound. For all but one (foramsulfuron), the probability distribution of predicted Vdss generated by IAT sensitivity analysis spans both the neutral prediction and the prediction using ionization. This dataset is associated with the following publication: Strope, C., K. Mansouri, H. Clewell, J. Rabinowitz, C. Stevens, and J. Wambaugh. High-Throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 615: 150-160, (2018).
Compound 529874: Pyrazine, 2-(2-pyrrylmethyl)-3,6-dimethyl
공공데이터포털
Chemical compound data from PubChem database. IUPAC Name: 2,5-dimethyl-3-(1H-pyrrol-2-ylmethyl)pyrazine. Molecular Formula: C11H13N3. Molecular Weight: 187.24. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.
Compound 529102: 4H-Pyrido[1,2-a]pyrimidin-4-one, 9-methyl
공공데이터포털
Chemical compound data from PubChem database. IUPAC Name: 9-methylpyrido[1,2-a]pyrimidin-4-one. Molecular Formula: C9H8N2O. Molecular Weight: 160.17. This dataset contains comprehensive chemical information including structural data, physical properties, and biological activities. Useful for drug discovery, chemical research, and educational purposes.