ArticleComputational toxicology (Amsterdam, Netherlands)2019
Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data.
Article in Computational toxicology (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
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Who cites it
12 citing papers in PubMed.
- 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
- 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
- Development of a CSRML version of the Analog Identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach.Computational toxicology (Amsterdam, Netherlands) · 2023Article
- Towards systematic read-across using Generalised Read-Across (GenRA).Computational toxicology (Amsterdam, Netherlands) · 2023Article
- Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities.Chemical research in toxicology · 2022Review
- Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Predicting Primary Biodegradation of Petroleum Hydrocarbons in Aquatic Systems: Integrating System and Molecular Structure Parameters using a Novel Machine-Learning Framework.Environmental toxicology and chemistry · 2022Article
- Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.Frontiers in toxicology · 2022Article
- Generalized Read-Across prediction using genra-py.Bioinformatics (Oxford, England) · 2021Article
- Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data: A proof-of-concept case study.Computational toxicology (Amsterdam, Netherlands) · 2021Article
- An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity.Computational toxicology (Amsterdam, Netherlands) · 2020Article
- Quantitative prediction of repeat dose toxicity values using GenRA.Regulatory toxicology and pharmacology : RTP · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Read-across approaches continue to evolve as does their utility in the field of risk assessment. Previously we presented our generalised read-across (GenRA) approach (Shah et al., 2016), which utilises chemical descriptor and/or
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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.