Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks

Drug resistance is a primary barrier to effective treatments of HIV/AIDS. Calculating quantitative relations between genotype and phenotype observations for each inhibitor with cell-based assays requires time and money-consuming experiments. Machine learning models are good options for tackling thes...

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Detalles Bibliográficos
Autores principales: Tunc, Huseyin, Dogan, Berna, Darendeli Kiraz, Büşra Nur, Sari, Murat, Durdagi, Serdar, Kotil, Seyfullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038082/
https://www.ncbi.nlm.nih.gov/pubmed/36967989
http://dx.doi.org/10.7717/peerj.14987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038082/
https://www.ncbi.nlm.nih.gov/pubmed/36967989
http://dx.doi.org/10.7717/peerj.14987

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