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...

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Detalles Bibliográficos
Autores principales: Tarasova, Olga, Biziukova, Nadezhda, Filimonov, Dmitry, Poroikov, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278491/
https://www.ncbi.nlm.nih.gov/pubmed/30355996
http://dx.doi.org/10.3390/molecules23112751

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