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Article

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

PeerJ - 1 Jan 2023

Tunc Huseyin, Dogan Berna, Darendeli Kiraz Büşra Nur, Sari Murat, Durdagi Serdar, Kotil Seyfullah

Abstract excerpt

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 these problems by generalizing the available data with suitable linear or nonlinear mappings. The main aim of this study...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HIV/AIDS drug development and treatment

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Share to Neural Networks, Computer

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Source

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Identifiers

PMID: 36967989
DOI: 10.7717/peerj.14987
PMCID: PMC10038082

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