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Reverse Transcriptase Inhibitors

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Long-term safety and efficacy of rilpivirine in combination with nucleoside/nucleotide reverse transcriptase inhibitors in HIV-1 infected patients: 336-week rollover study of phase 2b and 3 clinical studies.

Antiviral therapy 35485339
BACKGROUND: To evaluate the long-term safety and efficacy of rilpivirine (RPV), a non-nucleoside reverse transcriptase inhibitor (NNRTI), in combination with nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs) in human immunodeficiency vir...
Anti-HIV Agents HIV Infections HIV-1 Humans Nucleosides Nucleotides Reverse Transcriptase Inhibitors Rilpivirine
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Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks.

BMC bioinformatics 28810826
BACKGROUND: Drug resistance in HIV treatment is still a worldwide problem. Predicting resistance to antiretrovirals (ARVs) before starting any treatment is important. Prediction accuracy is essential, as low-accuracy predictions increase the risk of ...
Databases, Factual Drug Resistance, Viral HIV Infections HIV Protease HIV Protease Inhibitors HIV Reverse Transcriptase HIV-1 Humans Neural Networks, Computer Reverse Transcriptase Inhibitors
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A Machine Learning Approach for Predicting HIV Reverse Transcriptase Mutation Susceptibility of Biologically Active Compounds.

Journal of chemical information and modeling 29953819
HIV resistance emerging against antiretroviral drugs represents a great threat to the continued prolongation of the lifespans of HIV-infected patients. Therefore, methods capable of predicting resistance susceptibility in the development of compounds...
Bayes Theorem Drug Discovery Drug Resistance, Viral HIV Infections HIV Reverse Transcriptase HIV-1 Humans Machine Learning Models, Biological Point Mutation Reverse Transcriptase Inhibitors
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Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets.

Molecular pharmaceutics 30779585
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge economic impact in many countries. The first class of drugs approved were nucleoside reverse transcriptase inhibitors. A newer generation of reverse transcr...
Anti-HIV Agents Bayes Theorem Databases, Factual Decision Trees Drug Discovery HIV HIV Infections HIV Reverse Transcriptase Humans Machine Learning Neural Networks, Computer Reverse Transcriptase Inhibitors Support Vector Machine
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Pre-training strategy for antiviral drug screening with low-data graph neural network: A case study in HIV-1 K103N reverse transcriptase.

Journal of computational chemistry 39434589
Graph neural networks (GNN) offer an alternative approach to boost the screening effectiveness in drug discovery. However, their efficacy is often hindered by limited datasets. To address this limitation, we introduced a robust GNN training framework...
Anti-HIV Agents Drug Evaluation, Preclinical HIV Reverse Transcriptase HIV-1 Humans Machine Learning Molecular Docking Simulation Molecular Dynamics Simulation Neural Networks, Computer Reverse Transcriptase Inhibitors
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