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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discriminate drug binding with different mechanisms. We h...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7463244/ https://ncbi.nlm.nih.gov/pubmed/32873881 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-71347-6 |
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