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Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
As safety is one of the most important properties of drugs, chemical toxicology prediction has received increasing attentions in the drug discovery research. Traditionally, researchers rely on in vitro and in vivo experiments to test the toxicity of chemical compounds. However, not only are these ex...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627024/ https://www.ncbi.nlm.nih.gov/pubmed/34838140 http://dx.doi.org/10.1186/s13321-021-00570-8 |