Articles with "read across" as a keyword



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Zeta-Potential Read-Across Model Utilizing Nanodescriptors Extracted via the NanoXtract Image Analysis Tool Available on the Enalos Nanoinformatics Cloud Platform.

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Published in 2020 at "Small"

DOI: 10.1002/smll.201906588

Abstract: Zeta potential is one of the most critical properties of nanomaterials (NMs) which provides an estimation of the surface charge, and therefore electrostatic stability in medium and, in practical terms, influences the NM's tendency to… read more here.

Keywords: image; zeta potential; tool; model ... See more keywords
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Safety assessment of cosmetics by read across applied to metabolomics data of in vitro skin and liver models.

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Published in 2021 at "Archives of toxicology"

DOI: 10.1007/s00204-021-03136-7

Abstract: As a result of the cosmetics testing ban, safety evaluations of cosmetics ingredients must now be conducted using animal-free methods. A common approach is read across, which is mainly based on structural similarities but can… read more here.

Keywords: vitro skin; safety; toxicity; div665 ... See more keywords
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A framework for grouping and read-across of nanomaterials- supporting innovation and risk assessment

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Published in 2020 at "Nano Today"

DOI: 10.1016/j.nantod.2020.100941

Abstract: Abstract According to some legislation grouping can streamline data gap filling for the hazard assessment of substances. The GRACIOUS Framework aims to facilitate the application of grouping of nanomaterials or nanoforms (NFs), in a regulatory… read more here.

Keywords: information; framework; risk assessment; innovation ... See more keywords
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Exploring the Potential of ToxCast Data in Supporting Read-Across for Evaluation of Food Chemical Safety.

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Published in 2020 at "Chemical research in toxicology"

DOI: 10.1021/acs.chemrestox.0c00240

Abstract: The intention of this study was to determine the utility of high-throughput screening (HTS) data, as exemplified by ToxCast and Tox21, for application in toxicological read-across in food-relevant chemicals. Key questions were addressed on the… read more here.

Keywords: exploring potential; hts data; evaluation; chemical ... See more keywords
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Quantifying Analogue Suitability for SAR-Based Read-Across Toxicological Assessment

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Published in 2023 at "Chemical Research in Toxicology"

DOI: 10.1021/acs.chemrestox.2c00311

Abstract: Structure activity relationship (SAR)-based read-across often is an integral part of toxicological safety assessment, and justification of the prediction presents the most challenging aspect of the approach. It has been established that structural consideration alone… read more here.

Keywords: read across; assessment; sar based; based read ... See more keywords
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Automated Grouping of Nanomaterials and Read-Across Prediction of Their Adverse Effects Based on Mathematical Optimization

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Published in 2021 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.1c00199

Abstract: In this study, a computational workflow is presented for grouping engineered nanomaterials (ENMs) and for predicting their toxicity-related end points. A mixed integer-linear optimization program (MILP) problem is formulated, which automatically filters out the noisy… read more here.

Keywords: nanomaterials read; across prediction; optimization; read across ... See more keywords
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toxFlow: A Web-Based Application for Read-Across Toxicity Prediction Using Omics and Physicochemical Data

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Published in 2018 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.7b00160

Abstract: We present toxFlow, a web application developed for enrichment analysis of omics data coupled with read-across toxicity prediction. A sequential analysis workflow is suggested where users can filter omics data using enrichment scores and incorporate… read more here.

Keywords: toxflow web; across toxicity; toxicity; read across ... See more keywords
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What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps.

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Published in 2017 at "Nanoscale"

DOI: 10.1039/c7nr02211e

Abstract: Over the past decade, computational nanotoxicology, in particular Quantitative Structure-Activity Relationship models (Nano-QSAR) that help in assessing the biological effects of nanomaterials, have received much attention. In effect, a solid basis for uncovering the relationships… read more here.

Keywords: data small; number nanotoxicity; nano qsar; nanotoxicity data ... See more keywords
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Extrapolating the Applicability of Measurement Data on Worker Inhalation Exposure to Chemical Substances.

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Published in 2020 at "Annals of work exposures and health"

DOI: 10.1093/annweh/wxz097

Abstract: Measured data are generally preferred to modelled estimates of exposure. Grouping and read-across is already widely used and accepted approach in toxicology, but an appropriate approach and guidance on how to use existing exposure measurement… read more here.

Keywords: work situation; substance work; exposure; read across ... See more keywords
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In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR

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Published in 2019 at "Frontiers in Pharmacology"

DOI: 10.3389/fphar.2019.00561

Abstract: A plethora of databases exist online that can assist in in silico chemical or drug safety assessment. However, a systematic review and grouping of databases, based on purpose and information content, consolidated in a single… read more here.

Keywords: silico toxicology; toxicology data; data resources; resources support ... See more keywords
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RAID: Regression Analysis–Based Inductive DNA Microarray for Precise Read-Across

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Published in 2022 at "Frontiers in Pharmacology"

DOI: 10.3389/fphar.2022.879907

Abstract: Chemical structure-based read-across represents a promising method for chemical toxicity evaluation without the need for animal testing; however, a chemical structure is not necessarily related to toxicity. Therefore, in vitro studies were often used for… read more here.

Keywords: regression analysis; dna microarray; gene; read across ... See more keywords