Computational application of internationally harmonized defined approaches to skin sensitization: DASS App.
BMC Bioinformatics
; 25(1): 4, 2024 Jan 02.
Article
en En
| MEDLINE
| ID: mdl-38166637
ABSTRACT
BACKGROUND:
Chemically induced skin sensitization, or allergic contact dermatitis, is a common occupational and public health issue. Regulatory authorities require an assessment of potential to cause skin sensitization for many chemical products. Defined approaches for skin sensitization (DASS) identify potential chemical skin sensitizers by integrating data from multiple non-animal tests based on human cells, molecular targets, and computational model predictions using standardized data interpretation procedures. While several DASS are internationally accepted by regulatory agencies, the data interpretation procedures vary in logical complexity, and manual application can be time-consuming or prone to error.RESULTS:
We developed the DASS App, an open-source web application, to facilitate user application of three regulatory testing strategies for skin sensitization assessment the Two-out-of-Three (2o3), the Integrated Testing Strategy (ITS), and the Key Event 3/1 Sequential Testing Strategy (KE 3/1 STS) without the need for software downloads or computational expertise. The application supports upload and analysis of user-provided data, includes steps to identify inconsistencies and formatting issues, and provides predictions in a downloadable format.CONCLUSION:
This open-access web-based implementation of internationally harmonized regulatory guidelines for an important public health endpoint is designed to support broad user uptake and consistent, reproducible application. The DASS App is freely accessible via https//ntp.niehs.nih.gov/go/952311 and all scripts are available on GitHub ( https//github.com/NIEHS/DASS ).Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Dermatitis Alérgica por Contacto
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Aplicaciones Móviles
Tipo de estudio:
Etiology_studies
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Prognostic_studies
Límite:
Animals
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Humans
Idioma:
En
Revista:
BMC Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos