ReviewDrug discovery today2010
The future of toxicity testing: a focus on in vitro methods using a quantitative high-throughput screening platform.
Review in Drug discovery today, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 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
104 citing papers in PubMed, 288 citations in OpenAlex.
- Evaluation of deep learning architectures for predicting ligand interactions with neurologically relevant GPCRs.Journal of cheminformatics · 2026Article
- Tox21mer, A transformer foundation model for Tox21 high-throughput concentration-response curves data.bioRxiv : the preprint server for biology · 2026Article
- Impact of Chemical Quality on High-Throughput in Vitro Assays: A Tox21 Study.Chemical research in toxicology · 2026Article
- Advances in Cytotoxicity Testing: From In Vitro Assays to In Silico Models.International journal of molecular sciences · 2025Review
- MT1G activation in dopaminergic neurons identifies chelators and their relationships to cytotoxicity.SLAS discovery : advancing life sciences R & D · 2025Article
- Article
- Advanced passive 3D bioelectronics: powerful tool for the cardiac electrophysiology investigation.Microsystems & nanoengineering · 2025Review
- SMCVdb: a database of experimental cellular toxicity information for drug candidate molecules.Database : the journal of biological databases and curation · 2024Article
- High-Throughput Screening to Advance In Vitro Toxicology: Accomplishments, Challenges, and Future Directions.Annual review of pharmacology and toxicology · 2024Review
- Identification of estrogen receptor agonists among hydroxylated polychlorinated biphenyls using classification-based quantitative structure-activity relationship models.Current research in toxicology · 2024Article
- Strategies for automating analytical and bioanalytical laboratories.Analytical and bioanalytical chemistry · 2023Article
- Transcriptome-based prediction of drugs, inhibiting cardiomyogenesis in human induced pluripotent stem cells.Cell death discovery · 2023Article
- Engineered Vasculature for Cancer Research and Regenerative Medicine.Micromachines · 2023Review
- Epidemiology meets toxicogenomics: Mining toxicologic evidence in support of an untargeted analysis of pesticides exposure and Parkinson's disease.Environment international · 2022Article
- Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues.Birth defects research · 2022Article
- Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay.Journal of hazardous materials · 2022Article
- Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology.Molecules (Basel, Switzerland) · 2022Article
- Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data.Environmental science & technology · 2022Article
- A Comparative Multi-System Approach to Characterizing Bioactivity of Commonly Occurring Chemicals.International journal of environmental research and public health · 2022Article
- A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling.Methods in molecular biology (Clifton, N.J.) · 2022Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The US Tox21 collaborative program represents a paradigm shift in toxicity testing of chemical compounds from traditional in vivo tests to less expensive and higher throughput in vitro methods to prioritize compounds for further study, identify mechanisms of action and ultimately develop predictive models for adverse health effects in humans. The NIH Chemical Genomics Center (NCGC) is an integral component of the Tox21 collaboration owing to its quantitative high-throughput screening (qHTS) paradigm, in which titration-based screening is used to profile hundreds of thousands of compounds per week. Here, we describe the Tox21 collaboration, qHTS-based compound testing and the various Tox21 screening assays that have been validated and tested at the NCGC to date.
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.