Identification of Clinically Relevant HIV Vif Protein Motif Mutations through Machine Learning and Undersampling

Human Immunodeficiency virus (HIV) and its clinical entity, the Acquired Immunodeficiency Syndrome (AIDS) continue to represent an important health burden worldwide. Although great advances have been made towards determining the way viral genetic diversity affects clinical outcome, genetic associati...

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Detalles Bibliográficos
Autores principales: Altamirano-Flores, José Salomón, Alvarado-Hernández, Luis Ángel, Cuevas-Tello, Juan Carlos, Tino, Peter, Guerra-Palomares, Sandra E., Garcia-Sepulveda, Christian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001277/
https://www.ncbi.nlm.nih.gov/pubmed/36899908
http://dx.doi.org/10.3390/cells12050772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001277/
https://www.ncbi.nlm.nih.gov/pubmed/36899908
http://dx.doi.org/10.3390/cells12050772

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