AIMC Topic: HIV-1

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Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens.

HIV research & clinical practice Jan 30, 2020
To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted protease inhibitors (PI/b), we enrolled 34 subjects with a median HIV-RNA 79 copies/mL and followed them for 15 months. Samples for next generation sequenc...
Viremia Anti-Retroviral Agents Antiretroviral Therapy, Highly Active HIV-1 High-Throughput Nucleotide Sequencing United Kingdom Drug Resistance, Multiple, Viral HIV Protease Middle Aged HIV Infections Viral Load Mutation HIV Protease Inhibitors Humans gag Gene Products, Human Immunodeficiency Virus Female Adult Male
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Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Journal of chemical theory and computation Jan 16, 2020
Over the past several decades, atomistic simulations of biomolecules, whether carried out using molecular dynamics or Monte Carlo techniques, have provided detailed insights into their function. Comparing the results of such simulations for a few clo...
Humans Machine Learning Protein Binding Mutation HIV Protease HIV Protease Inhibitors Hydrogen Bonding Static Electricity Monte Carlo Method Molecular Dynamics Simulation HIV-1 Ligands Drug Resistance, Viral
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Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Scientific reports Oct 11, 2019
Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have promising utility in prevention and treatment of HIV-1 infection, and several are currently undergoing clinical trials. Due to the high sequence diversity an...
Broadly Neutralizing Antibodies Immunoglobulin Idiotypes Neutralization Tests Deep Learning Humans Drug Resistance, Viral env Gene Products, Human Immunodeficiency Virus Computer Simulation HIV Infections HIV Antibodies Prognosis HIV-1 Epitope Mapping Data Accuracy Binding Sites, Antibody
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Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Journal of chemical information and modeling Aug 19, 2019
Discovery and optimization of small molecule inhibitors as therapeutic drugs have immensely benefited from rational structure-based drug design. With recent advances in high-resolution structure determination, computational power, and machine learnin...
Molecular Docking Simulation Drug Design Drug Discovery HIV Infections Humans Machine Learning HIV Protease Inhibitors Protein Binding HIV-1 Ligands HIV Protease
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Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences Jul 22, 2019
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs when a patient is simultaneously infected with both human immunodeficiency virus type-1 (HIV-1) and hepatitis C virus (HCV), which is common today in certain popul...
Hepatitis C HIV-1 Molecular Conformation Quantitative Structure-Activity Relationship Models, Molecular Molecular Structure Bayes Theorem Hepacivirus Databases, Pharmaceutical Polypharmacology Humans Machine Learning Algorithms Drug Discovery HIV Infections Anti-HIV Agents Antiviral Agents Protein Binding
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A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Molecules (Basel, Switzerland) Jun 30, 2019
Machine learning plays an important role in ligand-based virtual screening. However, conventional machine learning approaches tend to be inefficient when dealing with such problems where the data are imbalanced and features describing the chemical ch...
Models, Chemical HIV-1 Ligands HIV Integrase Machine Learning Computer Simulation
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An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

PloS one Nov 14, 2018
For many disease-causing virus species, global diversity is clustered into a taxonomy of subtypes with clinical significance. In particular, the classification of infections among the subtypes of human immunodeficiency virus type 1 (HIV-1) is a routi...
HIV-1 Genome, Viral Machine Learning Software Time Factors Genomics
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Robotic selection for the rapid development of stable CHO cell lines for HIV vaccine production.

PloS one Aug 2, 2018
The production of envelope glycoproteins (Envs) for use as HIV vaccines is challenging. The yield of Envs expressed in stable Chinese Hamster Ovary (CHO) cell lines is typically 10-100 fold lower than other glycoproteins of pharmaceutical interest. M...
Humans Antibody Formation Automation, Laboratory Antibodies, Neutralizing Animals Cricetinae HIV-1 CHO Cells AIDS Vaccines High-Throughput Screening Assays Cricetulus HIV Antibodies HEK293 Cells Robotics
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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 Jul 17, 2018
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...
HIV Reverse Transcriptase Point Mutation Humans Machine Learning Drug Discovery HIV-1 HIV Infections Bayes Theorem Reverse Transcriptase Inhibitors Models, Biological Drug Resistance, Viral
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Effects of docosahexaenoic acid on locomotor activity in ethanol-treated HIV-1 transgenic rats.

Journal of neurovirology Dec 19, 2017
Binge drinking affects the onset and progression of human immunodeficiency virus (HIV)-associated neurological disorders. The HIV-1 transgenic (HIV-1Tg) rat was created with a gag- and pol-deleted HIV-1 viral genome to mimic HIV-infected patients rec...
Binge Drinking Male Rats, Inbred F344 HIV Infections Maze Learning Docosahexaenoic Acids Rats Rats, Transgenic Gene Expression Locomotion Disease Models, Animal Interleukin-6 NF-kappa B Corpus Striatum Animals Interleukin-18 Endotoxins HIV-1
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