ReviewExpert opinion on drug metabolism & toxicology2021
High-throughput PBTK models for
Review in Expert opinion on drug metabolism & toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 78 citations in OpenAlex.
- Applicability of next-generation risk assessment generic PBK models and their performance within the chemical domain.Archives of toxicology · 2026Article
- Incorporating a dermal absorption route into high throughput toxicokinetic modeling.Journal of exposure science & environmental epidemiology · 2026Article
- Scientific Opinion on waiving of the dog studies in the regulatory process of agrochemicals approval.EFSA journal. European Food Safety Authority · 2026Article
- Toxicokinetic-Informed Evidential Learning for Applicability-Domain-Aware QSAR/QSPR Prediction of Environmental Contaminant Toxicity.Molecules (Basel, Switzerland) · 2026Article
- The way forward for assessing the human health safety of cosmetics in the EU: Proceedings of Workshop 2.Archives of toxicology · 2026Article
- Application of in vitro to in vivo extrapolation (IVIVE) to inform chemical health guidance value derivation-sample case studies comparing neuro-, hepato-, and developmental toxicities.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Exploiting Pharmacokinetic/Pharmacodynamic Methods for Optimizing and Accelerating Drug Development of Innovative Anti-Infectives.ChemMedChem · 2026Review
- Article
- Advances in Cytotoxicity Testing: From In Vitro Assays to In Silico Models.International journal of molecular sciences · 2025Review
- Guidance on minimum information requirements (MIR) from designing to reporting human biomonitoring (HBM).Environment international · 2025Article
- Article
- Article
- Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption.Pharmaceutical research · 2024Article
- Community-Engaged Research and the Use of Open Access ToxVal/ToxRef In Vivo Databases and New Approach Methodologies (NAM) to Address Human Health Risks From Environmental Contaminants.Birth defects research · 2024Article
- Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans.Archives of toxicology · 2024Article
- Advancing Toxicity Predictions: A Review onEnvironment & health (Washington, D.C.) · 2024Review
- A database of chemical absorption in human skin with mechanistic modeling applications.Scientific data · 2024Article
- Novel Strategy to Assess the Neurotoxicity of Organic Solvents Such as Glycol Ethers: Protocol for Combining In Vitro and In Silico Methods With Human-Controlled Exposure Experiments.JMIR research protocols · 2024Article
- Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.Environmental health perspectives · 2024Article
- Investigating open access new approach methods (NAM) to assess biological points of departure: A case study with 4 neurotoxic pesticides.Current research in toxicology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
introductionToxicity data are unavailable for many thousands of chemicals in commerce and the environment. Therefore, risk assessors need to rapidly screen these chemicals for potential risk to public health. High-throughput screening (HTS) for AREAS COVERED: This review covers generic physiologically based toxicokinetic (PBTK) models and high-throughput PBTK modeling for EXPERT OPINION: HTTK benefits chemical risk assessors with its ability to support rapid chemical screening/prioritization, perform IVIVE, and provide provisional TK modeling for large numbers of chemicals using only limited chemical-specific data. Although generic TK model design can increase prediction uncertainty, these models provide offsetting benefits by increasing model implementation accuracy. Also, public distribution of the models and data enhances reproducibility. For the httk package, the modular and open-source design can enable the tool to be used and continuously improved by a broad user community in support of the critical need for high-throughput chemical prioritization and rapid dose estimation to facilitate rapid hazard assessments.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.