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Related Experiment Video

Updated: Dec 16, 2025

An In Vitro Skin Irritation Test SIT using the EpiDerm Reconstructed Human Epidermal RHE Model

An In Vitro Skin Irritation Test SIT using the EpiDerm Reconstructed Human Epidermal RHE Model

Published on: July 13, 2009

Skin sensitization in silico protocol.

Candice Johnson¹, Ernst Ahlberg², Lennart T Anger³

¹Leadscope, Inc, 1393 Dublin Rd, Columbus, OH, 43215, USA.

Regulatory Toxicology and Pharmacology : RTP

|July 5, 2020

Summary

This summary is machine-generated.

This study introduces a framework for in silico skin sensitization assessment, standardizing principles and improving transparency. It enhances the reliability of computational predictions for skin sensitization without animal testing.

Keywords:

(Q)SAR Computational toxicology Computational toxicology protocols Defined approach Expert alerts Expert review Extractables and leachables In silico In silico toxicology Integrated approaches to testing and assessment (IATA)Skin sensitization

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Last Updated: Dec 16, 2025

An In Vitro Skin Irritation Test SIT using the EpiDerm Reconstructed Human Epidermal RHE Model

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Published on: July 13, 2009

Contact Hypersensitivity as a Murine Model of Allergic Contact Dermatitis

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Published on: September 26, 2022

Assessment of the Cytotoxic and Immunomodulatory Effects of Substances in Human Precision-cut Lung Slices

Assessment of the Cytotoxic and Immunomodulatory Effects of Substances in Human Precision-cut Lung Slices

Published on: May 9, 2018

Area of Science:

Toxicology
Computational Chemistry
Dermatology

Background:

Skin sensitization assessment is shifting towards in vitro methods and in silico approaches.
Current in silico methods lack standardized principles and transparency in uncertainty assessment.

Purpose of the Study:

To develop a standardized hazard assessment framework for in silico skin sensitization.
To define rules and principles for deriving reliable in silico assessments.
To establish methods for assigning reliability and confidence scores to in silico predictions.

Main Methods:

Developed a hazard assessment framework integrating skin sensitization mechanisms and endpoints.
Defined rules and principles based on the relevance of mechanisms, effects, and experimental systems.
Proposed methods for assigning reliability and confidence scores.

Main Results:

Established a structured approach for in silico skin sensitization assessment.
Provided guidelines for developing and evaluating in silico models.
Introduced a system for quantifying the confidence in in silico predictions.

Conclusions:

The proposed protocol supports the implementation and acceptance of in silico methods for skin sensitization prediction.
Standardization and transparency in in silico assessments are crucial for regulatory acceptance.
This framework aids in reducing animal testing for skin sensitization evaluations.