Tox21/ToxCast
Table of Contents
1. Definition
Tox21/ToxCast denotes a coordinated pair of United States federal programs that perform large-scale, high-throughput in vitro toxicology screening. Tox21 (Toxicology Testing in the 21st Century) is a research collaboration among four federal partners — the Environmental Protection Agency (EPA), the National Toxicology Program (NTP) of the National Institute of Environmental Health Sciences (NIEHS), the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health, and the Food and Drug Administration (FDA) — initiated in 20081. ToxCast (Toxicity Forecaster) is the companion EPA program, launched in 2007, that pioneered the application of in vitro bioassays and computational toxicology to the prioritization of environmental chemicals2.
The biological basis of both programs is the toxicity pathway concept: adverse outcomes in intact organisms are presumed to originate in the perturbation of conserved, quantifiable cell-signaling circuits. The assay panels therefore model molecular and cellular initiating events — nuclear receptor signaling, oxidative and other stress-response pathways (for example, p53, NF-κB, and ARE/Nrf2), mitochondrial function, DNA damage, and general cytotoxicity — rather than the apical endpoints of classical animal bioassays3. Structurally, screening is performed by quantitative high-throughput screening (qHTS), in which every chemical is tested as a titration series of concentrations, typically in 1536-well microplates, so that a full concentration-response curve is recorded and fitted to yield potency metrics such as the half-maximal activity concentration (AC50)4. Assay readouts rely principally on reporter-gene constructs (for example, pathway-responsive luciferase reporters), receptor-binding and enzyme measurements, and multiplexed cell viability measurements in human-derived cell systems3 4.
2. Purpose
The primary value proposition is scalable, human-relevant hazard identification. Classical guideline animal testing is slow, resource-intensive, and of limited throughput, leaving tens of thousands of commercial chemicals with little or no toxicity data. The National Research Council’s 2007 report, Toxicity Testing in the 21st Century, called for a transition from observational apical animal studies toward mechanism-based, pathway-oriented in vitro testing anchored in human biology5. Tox21 and ToxCast implement that vision by screening thousands of chemicals at a fraction of the cost and duration of animal studies, producing concentration-resolved data that rank chemicals for targeted testing and mechanistic follow-up1 6.
The programs improve upon legacy models in three principal respects. First, single-concentration, single-endpoint screening is replaced by titration-based concentration-response profiling, which distinguishes genuine biological activity from noise and ranks chemicals by potency4. Second, the assay repertoire is built on human molecular targets — human nuclear receptors, human cell lines, and human primary cells — so results are directly relevant to human pathway biology rather than extrapolated across species6. Third, in vitro potencies are routinely translated into administered-dose equivalents through in vitro-to-in vivo extrapolation (IVIVE), allowing comparison against realistic human exposure estimates and thereby supporting risk-based rather than purely hazard-based prioritization7.
3. Methodology
Quantitative high-throughput screening. The core technique is qHTS, in which each compound is assayed as a multi-point dilution series spanning several orders of magnitude, generating a pharmacological profile from which curve class, efficacy, and AC50 are computed4.
Screening platform and protocols. Tox21 screening is executed on a fully automated robotic platform operating 1536-well plates. Compounds are transferred by a 23-nanoliter pintool or by acoustic, non-contact dispensing, and each assay is qualified before production screening against acceptance criteria including a signal-to-background ratio greater than three, a coefficient of variation below ten percent, and a Z-prime factor above 0.53. The platform can screen the entire approximately 10,000-compound (10K) library in triplicate in approximately one week3. Tox21 Phase II testing covers roughly 10,000 chemicals in triplicate at fifteen concentrations, yielding more than fifty million concentration-response data points8.
Chemical libraries and substrates. The Tox21 10K library was assembled through multi-agency curation of commercial chemicals, drugs, food additives, pesticides, and industrial and consumer-product chemicals, with standardized structural annotation to support read-across and predictive modeling9. The ToxCast Phase I library comprised 309 chemicals, mostly pesticide active ingredients, screened across 467 in vitro assays spanning cell-free biochemical platforms and cell-based platforms in human primary cells, human cell lines, and rat primary hepatocytes6. Phase II profiling covered 976 chemicals across 331 enzymatic and receptor-signaling assays10, and the inventory subsequently grew to approximately 1,800 chemicals in Phase II and more than 4,500 after Phase III was initiated in late 201411.
Data processing and tools. All concentration-response data are processed through the open-source tcpl (ToxCast pipeline) R package and its associated MySQL database, which perform normalization, quality control, curve fitting, and hit calling12. Chemical identity, structures, and assay annotations are integrated through the public CompTox Chemistry Dashboard, which links ToxCast and Tox21 bioactivity to physicochemical and exposure data13.
4. Performance
Empirical performance.
- Throughput: the robotic platform profiles the full 10K library in triplicate in approximately one week3.
- Data scale: more than fifty million qHTS data points across approximately 10,000 chemicals and dozens of pathway assays8.
- Assay reproducibility: enforced through pre-qualification criteria (signal-to-background, coefficient of variation, Z-prime factor) and through triplicate, multi-concentration screening supported by positive and negative controls3.
- Predictive performance: cluster-based modeling of the Tox21 10K profiles produced predictive models for 72 in vivo toxicity endpoints and supported mechanism characterization8.
- Pathway-level performance: an integrated network model of 18 in vitro assays classified estrogen receptor pathway activity with strong concordance against curated reference data and supported prioritization decisions14.
Technical boundaries and limitations.
- Cytotoxicity burst: at concentrations approaching cell death, apparent activity arises simultaneously across many unrelated assays; such hits must be triaged as nonspecific rather than pathway-specific15.
- Dosimetry: potency values alone can mislead; IVIVE incorporating in vitro pharmacokinetic measurements is required to express bioactivity as administered-dose equivalents comparable to human exposure7.
- Biological coverage: many reporter assays lack full metabolic competence and capture short-term, largely transcriptional responses; apical and chronic outcomes therefore require integration with other new approach methodologies and targeted in vivo studies16.
- Assay coverage per chemical is uneven, so the absence of activity in ToxCast does not establish the absence of hazard17.
5. Applications
Research applications. The programs generate pathway-level bioactivity maps used for mechanism characterization, read-across, and the training of machine-learning toxicity models8 13. The Tox21 Data Challenge 2014 crowdsourced predictive models for twelve nuclear-receptor and stress-response assays, demonstrating the modeling value of the public data18.
Regulatory and industrial applications. The data are used principally for chemical prioritization, ranking substances for targeted in vivo testing1 6; for endocrine screening within the EPA Endocrine Disruptor Screening Program19 20; for risk-based screening through IVIVE and exposure integration7 16; and for prioritization of existing substances under Canada’s Bioactivity Exposure Ratio approach17.
Standardized contexts of use. EPA has proposed validated high-throughput assays and computational pathway models as alternatives within its Endocrine Disruptor Screening Program19, and the estrogen receptor model has been applied to more than 1,800 chemicals20 14. Health Canada published a science approach document in March 2021 formalizing the use of ToxCast and Tox21 bioactivity, combined with exposure estimates, for priority setting under the Canadian Environmental Protection Act17.
Deployment stage and readiness. The programs are operationally mature for screening and prioritization and are embedded in the EPA’s computational toxicology blueprint as core new approach methodologies; they are not yet accepted as standalone replacements for definitive apical hazard characterization16.
6. Variations
- Tox21 Phase I — The proof-of-concept phase of the interagency program, which screened approximately 2,800 compounds in more than 75 biochemical and cell-based assays covering cytotoxicity, DNA damage, and signaling pathway readouts3.
- Tox21 Phase II — The scale-up phase, which expanded testing to the nearly 10,000-compound 10K library on the NCATS robotic platform, screened in triplicate at fifteen concentrations3 8 9.
- ToxCast Phase I — The initial EPA phase, which screened 309 mostly pesticide chemicals across 467 in vitro assays on multiple cell-free and cell-based platforms6.
- ToxCast Phase II — The expanded EPA phase, which grew the chemical inventory to approximately 1,800 compounds, including an endocrine-focused subset, profiled across 331 enzymatic and receptor-signaling assays10 11.
- Tox21 Data Challenge — The 2014 crowdsourced modeling competition built on twelve Tox21 qHTS assay datasets for nuclear-receptor and stress-response pathway prediction18.
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Tice, R.R., Austin, C.P., Kavlock, R.J., et al., Improving the Human Hazard Characterization of Chemicals: A Tox21 Update, Environmental Health Perspectives 121(7):756–765, 2013.
This programmatic review describes the organization, rationale, and early progress of the Tox21 collaboration among the EPA, NTP/NIEHS, NCATS/NIH, and FDA, which was initiated in 2008. It explains how the program implements the National Research Council vision by screening thousands of chemicals in human-relevant in vitro assays to support hazard characterization. ↩︎ ↩︎ ↩︎ -
Dix, D.J., Houck, K.A., Martin, M.T., et al., The ToxCast Program for Prioritizing Toxicity Testing of Environmental Chemicals, Toxicological Sciences 95(1):5–12, 2007.
This founding description outlines the EPA ToxCast program and its strategy of applying in vitro bioassays and computational toxicology to prioritize environmental chemicals for targeted testing. It establishes the program logic by which chemicals with little hazard information are triaged using high-throughput data. ↩︎ -
Attene-Ramos, M.S., Miller, N., Huang, R., et al., The Tox21 robotic platform for the assessment of environmental chemicals — from vision to reality, Drug Discovery Today 18(15–16):716–723, 2013.
This article details the fully automated Tox21 robotic screening platform, including 1536-well qHTS operation, pintool and acoustic liquid handling, assay validation criteria, and the expansion from approximately 2,800 compounds across more than 75 assays in Phase I to the nearly 10,000-compound library in Phase II. It documents the platform’s capacity to screen the full library in triplicate in approximately one week. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Inglese, J., Auld, D.S., Jadhav, A., et al., Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical libraries, Proceedings of the National Academy of Sciences 103(31):11473–11478, 2006.
This methodological paper introduces quantitative high-throughput screening, in which compounds are assayed as multi-point dilution series rather than at a single concentration. It establishes the concentration-response framework, including curve classification and AC50 estimation, that underlies all Tox21 and ToxCast data generation. ↩︎ ↩︎ ↩︎ ↩︎ -
National Research Council, Toxicity Testing in the 21st Century: A Vision and a Strategy, National Academies Press, 2007.
This landmark consensus report articulates a strategic vision for toxicity testing based on the in vitro perturbation of human toxicity pathways rather than observational whole-animal studies. It provided the conceptual mandate from which both Tox21 and ToxCast were constructed. ↩︎ -
Judson, R.S., Houck, K.A., Kavlock, R.J., et al., In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization: The ToxCast Project, Environmental Health Perspectives 118(4):485–492, 2010.
This paper describes ToxCast Phase I, in which 309 chemicals, mostly pesticide active ingredients, were screened across 467 in vitro assays spanning cell-free and cell-based platforms, including human primary cells, human cell lines, and rat primary hepatocytes. It presents the program goal of relating in vitro signatures to in vivo outcomes for prioritization. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Wetmore, B.A., Wambaugh, J.F., Ferguson, S.S., et al., Integration of Dosimetry, Exposure, and High-Throughput Screening Data in Chemical Toxicity Assessment, Toxicological Sciences 125(1):157–174, 2012.
This study measured in vitro hepatic clearance and plasma protein binding and used IVIVE with exposure modeling to convert high-throughput potency values into administered-dose equivalents. It demonstrated that incorporating dosimetry and exposure information materially reorders chemical priorities and supports risk-based interpretation of screening data. ↩︎ ↩︎ ↩︎ -
Huang, R., Xia, M., Sakamuru, S., et al., Modelling the Tox21 10K chemical profiles for in vivo toxicity prediction and mechanism characterization, Nature Communications 7:10425, 2016.
This paper presents the first comprehensive analysis of the Tox21 effort, covering approximately 10,000 chemicals tested in triplicate at fifteen concentrations and producing more than fifty million data points across nuclear-receptor and stress-response assays. It builds cluster-based predictive models for 72 in vivo toxicity endpoints and uses the profiles for mechanism characterization. ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ -
Richard, A.M., Huang, R., Waidyanatha, S., et al., The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology, Chemical Research in Toxicology 34(2):189–216, 2021.
This paper documents the assembly, curation, and composition of the Tox21 10K compound library, spanning commercial chemicals, drugs, food additives, pesticides, and industrial and consumer-product chemicals. It describes the multi-agency chemical procurement and the standardized structural annotation that enable read-across and predictive modeling across the library. ↩︎ ↩︎ -
Sipes, N.S., Martin, M.T., Kothiya, P., et al., Profiling 976 ToxCast Chemicals across 331 Enzymatic and Receptor Signaling Assays, Chemical Research in Toxicology 26(6):878–895, 2013.
This study profiles 976 chemicals from Phases I and II of ToxCast across 331 enzymatic and receptor-signaling assays, including failed pharmaceuticals, alternative plasticizers, food additives, and pesticides. It maps broad bioactivity patterns and demonstrates the use of assay batteries to discern mechanism-based signatures. ↩︎ ↩︎ -
U.S. Environmental Protection Agency, Generating ToxCast Data: Chemical Coverage, U.S. EPA Comptox Tools, accessed 2026-10-20.
This EPA resource documents the growth of the ToxCast chemical inventory across program phases, reporting approximately 1,800 chemicals after Phase II and more than 4,500 chemicals following the initiation of Phase III in 2014. It provides the authoritative accounting of chemical coverage used for planning subsequent screening. ↩︎ ↩︎ -
Filer, D.L., Kothiya, P., Setzer, R.W., et al., tcpl: the ToxCast pipeline for high-throughput screening data, Bioinformatics 33(4):618–620, 2017.
This article introduces the tcpl R package and its associated MySQL database, which provide a generalized open-source platform for storing, normalizing, fitting, and hit-calling large high-throughput screening datasets. The pipeline processes all ToxCast concentration-response data and populates the public invitroDB resource. ↩︎ -
Williams, A.J., Grulke, C.M., Edwards, J., et al., The CompTox Chemistry Dashboard: a community data resource for environmental chemistry, Journal of Cheminformatics 9:61, 2017.
This paper describes the public CompTox Chemistry Dashboard, which integrates chemical structures, identifiers, hazard data including ToxCast and Tox21 bioactivity, and exposure-linked information for thousands of chemicals. It functions as the primary public portal for accessing program data in chemical context. ↩︎ ↩︎ -
Judson, R.S., Magpantay, F.M., Chickarmane, V., et al., Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor, Toxicological Sciences 148(1):137–154, 2015.
This paper presents a computational network model that integrates 18 in vitro high-throughput assays measuring estrogen receptor binding, dimerization, chromatin binding, and transcriptional activation. The model classifies pathway activity with strong concordance against curated reference chemicals and supports the prioritization of chemicals for endocrine evaluation. ↩︎ ↩︎ -
Judson, R.S., Houck, K.A., Martin, M.T., et al., Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space, Toxicological Sciences 152(2):323–339, 2016.
This study analyzes cell stress and cytotoxicity effects across a large, diverse chemical and assay space and defines the cytotoxicity burst, a concentration threshold above which apparent activity arises nonspecifically across many assays. It recommends triaging activity observed near cytotoxicity thresholds as probable nonspecific interference. ↩︎ -
Thomas, R.S., Bahadori, T., Buckley, T.J., et al., The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency, Toxicological Sciences 169(2):317–332, 2019.
This article presents the EPA blueprint for computational toxicology, positioning high-throughput screening, IVIVE, and related new approach methodologies as the foundation of chemical evaluation across regulatory programs. It acknowledges current technical gaps and defines the strategic path toward their resolution. ↩︎ ↩︎ ↩︎ -
Government of Canada, Science approach document - Bioactivity exposure ratio: Application in priority setting and risk assessment, Environment and Climate Change Canada, 2021-03.
This science approach document formalizes the Bioactivity Exposure Ratio, a method that combines ToxCast and Tox21 in vitro bioactivity concentrations with exposure estimates to prioritize existing substances under the Canadian Environmental Protection Act. It illustrates the approach on 46 previously assessed substances and demonstrates an accepted regulatory context of use. ↩︎ ↩︎ ↩︎ -
Huang, R., Xia, M., Nguyen, D.-T., et al., Tox21Challenge to Build Predictive Models of Nuclear Receptor and Stress Response Pathways as Mediated by Exposure to Environmental Chemicals and Drugs, Frontiers in Environmental Science 3:85, 2016.
This paper describes the Tox21 Data Challenge 2014, a crowdsourced competition in which participants worldwide built predictive models for twelve nuclear-receptor and stress-response qHTS assays selected for data quality, active rate, and toxicological relevance. It demonstrates the community modeling value of the public Tox21 dataset. ↩︎ ↩︎ -
U.S. Environmental Protection Agency, Use of High Throughput Assays and Computational Tools; Endocrine Disruptor Screening Program; Notice of Availability and Opportunity for Comment, Federal Register, 2015-06-19.
This Federal Register notice presents the EPA proposal to use validated high-throughput assays and computational models, including the estrogen receptor pathway model, as alternatives within the Endocrine Disruptor Screening Program. It marks a formal regulatory step toward accepting high-throughput data for endocrine screening decisions. ↩︎ ↩︎ -
U.S. Environmental Protection Agency, EPA Solicits Comments on Use of High-Throughput Assays and Computational Tools in Endocrine Disruptor Screening Program, U.S. EPA Newsroom, 2015-06.
This EPA news release announces the public comment period on the use of high-throughput assays and computational tools for endocrine screening and reports that partial screening results were already available for more than 1,800 chemicals evaluated with the estrogen receptor pathway model. It documents the scale at which the models had been deployed at the time of the announcement. ↩︎ ↩︎