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ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities

[Image: see text] Computational methods such as machine learning approaches have a strong track record of success in predicting the outcomes of in vitro assays. In contrast, their ability to predict in vivo endpoints is more limited due to the high number of parameters and processes that may influen...

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Bibliographische Detailangaben
Veröffentlicht in:J Chem Inf Model
Hauptverfasser: Garcia de Lomana, Marina, Morger, Andrea, Norinder, Ulf, Buesen, Roland, Landsiedel, Robert, Volkamer, Andrea, Kirchmair, Johannes, Mathea, Miriam
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Chemical Society 2021
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8317154/
https://ncbi.nlm.nih.gov/pubmed/34153183
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.jcim.1c00451
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