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Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning
Understanding the substrate specificity of HIV-1 protease plays an essential role in the prevention of HIV infection. A variety of computational models have thus been developed to predict substrate sites that are cleaved by HIV-1 protease, but most of them normally follow a supervised learning schem...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044780/ https://www.ncbi.nlm.nih.gov/pubmed/33868387 http://dx.doi.org/10.3389/fgene.2021.658078 |