ReviewAnnual review of pharmacology and toxicology2024
High-Throughput Screening to Advance In Vitro Toxicology: Accomplishments, Challenges, and Future Directions.
Review in Annual review of pharmacology and toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 43 citations in OpenAlex.
- A Hybrid Experimental and in silico Platform for ITPK1 Chemical Probe Discovery.SLAS discovery : advancing life sciences R & D · 2026Article
- ToxiGuard: an AOP-guided mechanistically interpretable framework for multi-organ toxicity prediction.Archives of toxicology · 2026Article
- Analysis of in vitro profiling data of cosmetic ingredients within the Tox21 10K compound library for bioactivity and potential toxicity.BMC pharmacology & toxicology · 2026Article
- Acute liver injury linked to an adulterated weight-loss product: Integrated clinical, chemical, and toxicological evidence supporting a highly probable causality as assessed by updated RUCAM (2016).Toxicology reports · 2026Article
- Impact of Chemical Quality on High-Throughput in Vitro Assays: A Tox21 Study.Chemical research in toxicology · 2026Article
- Comprehensive profiling of metal compound toxicity: potential novel targets and mechanistic insights using Tox21 screening.Journal of hazardous materials advances · 2026Article
- Comparative evaluation of 3D culture strategies for pulp-dentin models.BMC oral health · 2026Article
- Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine.International journal of nanomedicine · 2026Review
- Article
- Identifying androgen receptor antagonists using a metabolically competent high-throughput screening assay.Current research in toxicology · 2026Article
- Current approaches and advances in placental toxicology.Trends in endocrinology and metabolism: TEM · 2026Review
- From prediction to adaptation: rethinking the epistemic role of inhalation toxicology.Frontiers in toxicology · 2026Article
- Review
- High-content toxicological profiling of 87 compounds using a 3D mouse mini-testis model: a New Approach Methodology (NAM) for prioritizing male reproductive toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
- Emerging advances in intestinal models for in vitro preclinical research.American journal of physiology. Gastrointestinal and liver physiology · 2025Review
- Artificial Intelligence-Driven Drug Toxicity Prediction: Advances, Challenges, and Future Directions.Toxics · 2025Review
- Application of cytochrome P450 enzyme assays to predict p53 inducers and AChE inhibitors that require metabolic activation.Toxicology and applied pharmacology · 2025Article
- High-throughput screening data generation, scoring and FAIRification: a case study on nanomaterials.Journal of cheminformatics · 2025Article
- Machine Learning-Enabled Drug-Induced Toxicity Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Profiling of Environmental Mixtures Containing Metals for Their Toxicity Pathways and Mechanism of Action.Environmental science & technology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
Traditionally, chemical toxicity is determined by in vivo animal studies, which are low throughput, expensive, and sometimes fail to predict compound toxicity in humans. Due to the increasing number of chemicals in use and the high rate of drug candidate failure due to toxicity, it is imperative to develop in vitro, high-throughput screening methods to determine toxicity. The Tox21 program, a unique research consortium of federal public health agencies, was established to address and identify toxicity concerns in a high-throughput, concentration-responsive manner using a battery of in vitro assays. In this article, we review the advancements in high-throughput robotic screening methodology and informatics processes to enable the generation of toxicological data, and their impact on the field; further, we discuss the future of assessing environmental toxicity utilizing efficient and scalable methods that better represent the corresponding biological and toxicodynamic processes in humans.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.