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A Computational Approach for the Prediction of HIV Resistance Based on Amino Acid and Nucleotide Descriptors
The high variability of the human immunodeficiency virus (HIV) is an important cause of HIV resistance to reverse transcriptase and protease inhibitors. There are many variants of HIV type 1 (HIV-1) that can be used to model sequence-resistance relationships. Machine learning methods are widely and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278491/ https://www.ncbi.nlm.nih.gov/pubmed/30355996 http://dx.doi.org/10.3390/molecules23112751 |