Author

Anke Wilm

Observed name: A. Wilm

Institution: Beiersdorf (Germany)

Observed institutions: Beiersdorf (Germany), Universität Hamburg

ORCID: 0000-0003-2891-1407

Observed ORCID: 0000-0003-2891-1407

OpenAlex ID: A5088264743

Computational approaches for skin sensitization prediction

2018 · Anke Wilm, Jochen Kühnl, et al. · Critical Reviews in Toxicology · 65

Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability

2019 · Anke Wilm, Conrad Stork, et al. · International Journal of Molecular Sciences · 31

Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules

2020 · Anke Wilm, Ulf Norinder, et al. · Chemical Research in Toxicology · 28

Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors

2021 · Anke Wilm, Marina Garcia de Lomana, et al. · Pharmaceuticals · 17

Evaluation of new alternative methods for the identification of estrogenic, androgenic and steroidogenic effects: a comparative in vitro/in silico study

2023 · A. Najjar, A. Wilm, et al. · Archives of Toxicology · 8

Increasing Accessibility of Bayesian Network-Based Defined Approaches for Skin Sensitisation Potency Assessment

2024 · Tomaz Mohoric, Anke Wilm, et al. · Toxics · 3

P09-19: Evaluation of new alternative methods to endocrine disruption: a comparison of in vitro and in silico results

2023 · D. Lange, A. Najjar, et al. · Toxicology Letters

Works count: 7

Citation count: 152

H-index: 5

I10-index: 4