Predicting skin sensitizer potency based on in vitro data from KeratinoSens and kinetic peptide binding: global versus domain-based assessment. - Wikidata - wikimedia - TriplyDB

Predicting skin sensitizer potency based on in vitro data from KeratinoSens and kinetic peptide binding: global versus domain-based assessment.

Predicting skin sensitizer potency based on in vitro data from KeratinoSens and kinetic peptide binding: global versus domain-based assessment.

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Evaluation of a High-Throughput Peptide Reactivity Format Assay for Assessment of the Skin Sensitization Potential of Chemicals In vitro methods for hazard assessment of industrial chemicals - opportunities and challenges How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.Reporter cell lines for skin sensitization testing.Respiratory allergenic potential of plant-derived proteins: Understanding the relationship between exposure and potency for risk assessments.Prediction of skin sensitization potency using machine learning approaches.State of the art in non-animal approaches for skin sensitization testing: from individual test methods towards testing strategies.Evaluation of in silico tools to predict the skin sensitization potential of chemicals.Bayesian integrated testing strategy (ITS) for skin sensitization potency assessment: a decision support system for quantitative weight of evidence and adaptive testing strategy.

P2860

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P2860

Predicting skin sensitizer potency based on in vitro data from KeratinoSens and kinetic peptide binding: global versus domain-based assessment.

http://www.wikidata.org/entity/Q30863703

description

2014 nî lūn-bûn

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2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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Toxicological Sciences

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Predicting skin sensitizer pot ...... ersus domain-based assessment.

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P2093

Graham Ellis

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Hans Gfeller

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Roger Emter

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Tina Haupt

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P2860

Filling the concept with data: integrating data from different in vitro and in silico assays on skin sensitizers to explore the battery approach for animal-free skin sensitization testing.

Evaluating the sensitization potential of surfactants: integrating data from the local lymph node assay, guinea pig maximization test, and in vitro methods in a weight-of-evidence approach.

A genomic biomarker signature can predict skin sensitizers using a cell-based in vitro alternative to animal tests

Non-animal sensitization testing: state-of-the-art.

Allergic contact dermatitis: xenoinflammation of the skin.

Chemical allergy: translating biology into hazard characterization.

Prediction of skin sensitization potency of chemicals by human Cell Line Activation Test (h-CLAT) and an attempt at classifying skin sensitization potency.

Predictive performance for human skin sensitizing potential of the human cell line activation test (h-CLAT).

Structure--activity relationship between the in vivo skin sensitizing potency of analogues of phenyl glycidyl ether and the induction of Nrf2-dependent luciferase activity in the KeratinoSens in vitro assay.

Analogues of the epoxy resin monomer diglycidyl ether of bisphenol F: effects on contact allergenic potency and cytotoxicity.

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319-332

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10.1093/TOXSCI/KFU229

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2

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143

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