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Identification of SARS-CoV-2 viral entry inhibitors using machine learning and cell-based pseudotyped particle assay
In response to the pandemic caused by SARS-CoV-2, we constructed a hybrid support vector machine (SVM) classification model using a set of publicly posted SARS-CoV-2 pseudotyped particle (PP) entry assay repurposing screen data to identify novel potent compounds as a starting point for drug developm...
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| Pubblicato in: | Bioorg Med Chem |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier Science
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7997310/ https://ncbi.nlm.nih.gov/pubmed/33831697 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bmc.2021.116119 |
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