Wilm, A.; Garcia de Lomana, M.; Stork, C.; Mathai, N.; Hirte, S.; Norinder, U.; Kühnl, J.; Kirchmair, J.
Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. Pharmaceuticals 2021, 14, 790.
https://doi.org/10.3390/ph14080790
AMA Style
Wilm A, Garcia de Lomana M, Stork C, Mathai N, Hirte S, Norinder U, Kühnl J, Kirchmair J.
Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. Pharmaceuticals. 2021; 14(8):790.
https://doi.org/10.3390/ph14080790
Chicago/Turabian Style
Wilm, Anke, Marina Garcia de Lomana, Conrad Stork, Neann Mathai, Steffen Hirte, Ulf Norinder, Jochen Kühnl, and Johannes Kirchmair.
2021. "Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors" Pharmaceuticals 14, no. 8: 790.
https://doi.org/10.3390/ph14080790
APA Style
Wilm, A., Garcia de Lomana, M., Stork, C., Mathai, N., Hirte, S., Norinder, U., Kühnl, J., & Kirchmair, J.
(2021). Predicting the Skin Sensitization Potential of Small Molecules with Machine Learning Models Trained on Biologically Meaningful Descriptors. Pharmaceuticals, 14(8), 790.
https://doi.org/10.3390/ph14080790