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

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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Bibliographic Details
Main Authors: Huseyin Tunc, Berna Dogan, Büşra Nur Darendeli Kiraz, Murat Sari, Serdar Durdagi, Seyfullah Kotil
Format: Article
Language:English
Published: PeerJ Inc. 2023-03-01
Series:PeerJ
Subjects:
Machine learning
Artificial neural networks
HIV/AIDS
Drug resistance
Protease inhibitors
Online Access:https://peerj.com/articles/14987.pdf

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https://peerj.com/articles/14987.pdf

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