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Dataset Information

Evaluation of the global performance of eight in silico skin sensitization models using human data.


ABSTRACT: Allergic contact dermatitis, or the clinical manifestation of skin sensitization, is a leading occupational hazard. Several testing approaches exist to assess skin sensitization, but in silico models are perhaps the most advantageous due to their high speed and low-cost results. Many in silico skin sensitization models exist, though many have only been tested against results from animal studies (e.g., LLNA); this creates uncertainty in human skin sensitization assessments in both a screening and regulatory context. This project’s aim was to evaluate the accuracy of eight in silico skin sensitization models against two human data sets: one highly curated (Basketter et al., 2014) and one screening level (HSDB). The binary skin sen­sitization status of each chemical in each of the two data se

SUBMITTER: Golden E 

PROVIDER: S-EPMC11316520 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature