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Prediction of protein corona on nanomaterials by machine learning using novel descriptors
Effective in silico methods to predict protein corona compositions on engineered nanomaterials (ENMs) could help elucidate the biological outcomes of ENMs in biosystems without the need for conducting lengthy experiments for corona characterization. However, the physicochemical properties of ENMs, u...
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| Publié dans: | NanoImpact |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7043407/ https://ncbi.nlm.nih.gov/pubmed/32104746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.impact.2020.100207 |
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