Virtual Extensive Read-Across: A New Open-Access Software for Chemical Read-Across and Its Application to the Carcinogenicity Assessment of Botanicals [PDF]
Molecules, 2022 Read-across applies the principle of similarity to identify the most similar substances to represent a given target substance in data-poor situations. However, differences between the target and the source substances exist.
Edoardo Luca Viganò +6 more
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Substantiate a read-across hypothesis by using transcriptome data—A case study on volatile diketones [PDF]
Frontiers in Toxicology, 2023 This case study explores the applicability of transcriptome data to characterize a common mechanism of action within groups of short-chain aliphatic α-, β-, and γ-diketones.
Christina Drake +12 more
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“intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles [PDF]
Computational and Structural Biotechnology JournalThe rapid advancement of nanotechnology has enabled the use of nanoparticles (NPs) in various applications, such as medicine, electrochemical sensors, and cosmetics, due to their unique physical and chemical properties.
Souvik Pore, Kunal Roy
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A KNIME Workflow to Assist the Analogue Identification for Read-Across, Applied to Aromatase Activity [PDF]
Molecules, 2023 The reduction and replacement of in vivo tests have become crucial in terms of resources and animal benefits. The read-across approach reduces the number of substances to be tested, exploiting existing experimental data to predict the properties of ...
Ana Yisel Caballero Alfonso +4 more
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Computational Modeling of Human Serum Albumin Binding of Per- and Polyfluoroalkyl Substances Employing QSAR, Read-Across, and Docking [PDF]
Molecules, 2023 Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals in widespread use that have been shown to be toxic to wildlife and humans.
Andrea Gallagher +2 more
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Article title: Transcriptional profiling efficacy to define biological activity similarity for cosmetic ingredients’ safety assessment based on next-generation read-across [PDF]
Frontiers in Toxicology, 2022 The objective of this work was to use transcriptional profiling to assess the biological activity of structurally related chemicals to define their biological similarity and with that, substantiate the validity of a read-across approach usable in risk ...
Jorge M. Naciff +3 more
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Mechanistic read-across comes of age: a comparative appraisal of EFSA 2025 guidance, ECHA’s RAAF, and good read-across practice [PDF]
Frontiers in ToxicologyRead-across has matured from an expert-driven extrapolation based largely on structural analogy into a rigorously documented, mechanistically informed cornerstone of next-generation risk assessment.
Thomas Hartung +5 more
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Next-generation risk assessment read-across case study: application of a 10-step framework to derive a safe concentration of daidzein in a body lotion [PDF]
Frontiers in PharmacologyIntroduction: We performed an exposure-based Next Generation Risk Assessment case read-across study using New Approach Methodologies (NAMs) to determine the highest safe concentration of daidzein in a body lotion, based on its similarities with its ...
Abdulkarim Najjar +8 more
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Development of hybrid models by the integration of the read-across hypothesis with the QSAR framework for the assessment of developmental and reproductive toxicity (DART) tested according to OECD TG 414 [PDF]
Toxicology ReportsThe governing laws mandate animal testing guidelines (TG) to assess the developmental and reproductive toxicity (DART) potential of new and current chemical compounds for the categorization, hazard identification, and labeling.
Sapna Kumari Pandey, Kunal Roy
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Identifying chemicals based on receptor binding/bioactivation/mechanistic explanation associated with potential to elicit hepatotoxicity and to support structure activity relationship-based read-across [PDF]
Current Research in Toxicology, 2023 The liver is the most common target organ in toxicology studies. The development of chemical structural alerts for identifying hepatotoxicity will play an important role in in silico model prediction and help strengthen the identification of analogs used
Shengde Wu +7 more
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