ArticleComputational toxicology (Amsterdam, Netherlands)2023
Towards systematic read-across using Generalised Read-Across (GenRA).
Article in Computational toxicology (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed.
- Applicability of NAMs to support a read-across based hazard assessment workflow for systemic toxicity: a conazole case study.Archives of toxicology · 2026Article
- Computational characterisation of ecological hazard and risk of environmental mixtures.EFSA journal. European Food Safety Authority · 2025Article
- Transcriptomic dose response assessment of PFAS chemicals 3:3 fluorotelomer carboxylic acid, 7:3 fluorotelomer alcohol, and perfluorohexanesulfonamide.Toxicology · 2025Article
- Building a compendium of expert driven read-across cases to facilitate an analysis of the contribution that different similarity contexts play in read-across performance.Computational toxicology (Amsterdam, Netherlands) · 2025Article
- Article
- Can graph similarity metrics be helpful for analogue identification as part of a read-across approach?Computational toxicology (Amsterdam, Netherlands) · 2025Article
- Chloronitramide anion is a decomposition product of inorganic chloramines.Science (New York, N.Y.) · 2024Article
- Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure-activity relationship (q-RASAR) with the application of machine learning.Critical reviews in toxicology · 2024Review
- 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
- Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment.Computational toxicology (Amsterdam, Netherlands) · 2024Article
- Unlocking the Potential of Clustering and Classification Approaches: Navigating Supervised and Unsupervised Chemical Similarity.Environmental health perspectives · 2024Article
- Combining Nontargeted Analysis with Computer-Based Hazard Comparison Approaches to Support Prioritization of Unregulated Organic Contaminants in Biosolids.Environmental science & technology · 2024Article
- MetSim: Integrated Programmatic Access and Pathway Management for Xenobiotic Metabolism Simulators.Chemical research in toxicology · 2024Article
- Systematic Approaches for the Encoding of Chemical Groups: A Case Study.Chemical research in toxicology · 2024Article
- A Comparison of Machine Learning Approaches for predicting Hepatotoxicity potential using Chemical Structure and Targeted Transcriptomic Data.Computational toxicology (Amsterdam, Netherlands) · 2024Article
- Enabling novel paradigms: a biological questions-based approach to human chemical hazard and drug safety assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2024Article
- Workflow for predictive risk assessments of UVCBs: cheminformatics library design, QSAR, and read-across approaches applied to complex mixtures of metal naphthenates.Frontiers in toxicology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Read-across continues to be a popular data gap filling technique within category and analogue approaches. One of the main issues hindering read-across acceptance is the notion of addressing and reducing uncertainties. Frameworks and formats have been created to help facilitate read-across development, evaluation, and residual uncertainties. However, read-across remains an expert-driven approach with each assessment decided on its own merits with no objective means of evaluating performance or quantifying uncertainties. Here, the underlying motivation of creating an algorithmic approach to read-across, namely the Generalised Read-Across (GenRA) approach, is described. The overall objectives of the approach were to quantify performance and uncertainty. Progress made in quantifying the impact of each similarity context commonly relied upon as part of read-across assessment are discussed. The framework underpinning the approach, the software tools developed to date and how GenRA can be used to make and interpret predictions as part of a screening level hazard assessment decision context are illustrated. Future directions and some of the overarching issues still needed in this field and the extent to which GenRA might facilitate those needs are discussed.
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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.