ctxR: Utilities for interacting with the CTX APIs.

Paul M Kruse, Caroline L Ring, Katie Paul Friedman, Madison Feshuk, Jason Brown, Carter Thunes, Asif Rashid

Abstract read

In one paragraph

Article in NAM journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

Human vs. cells vs. machine: A comparative analysis of toxicological points of departure derived from quantitative read-across (qRAx), in vitro data, and In silico predictions.Regulatory toxicology and pharmacology : RTP · 2026
Article
Formaldehyde and Formaldehyde Releasing Preservatives in Personal Care Products Used by Black Women and Latinas.Environmental science & technology letters · 2025
Article
Enabling transparent toxicokinetic modeling for public health risk assessment.PloS one · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Paul M KruseUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Caroline L RingUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Katie Paul FriedmanUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Madison FeshukUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Jason BrownUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Carter ThunesUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Asif RashidUnited States Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, 109 T.W. Alexander Drive, P.O. Box 12055, Research Triangle Park, 27709, NC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new R package, ctxR, is presented. ctxR is an open-source R Client package used to interact with the Computational Toxicology and Exposure Application Programming Interfaces (CTX APIs) in R. The CTX APIs were developed by the US EPA's Center for Computational Toxicology and Exposure, and provide users transparent, reproducible access in a programmatic manner to the data surfaced on the CompTox Chemicals Dashboard (CCD) and other data sources. The utility of this package is demonstrated through a case study that compares traditional Points of Departure (PODs) and PODs based on New Approach Methods (NAMs), referred to as PODNAM, relative to estimates of external exposure as an indicator of level of risk. This analysis combines a wide variety of data and showcases the power of programmatic data access that ctxR can provide to the scientific community.

Indexed as

CheminformaticsComputational exposureComputational toxicologyData scienceEnvironmental chemistryR

Identifiers

PMID42369401

DOI10.1016/j.namjnl.2025.100031

PMCPMC13289153

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.