AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

HIV-1

Showing 21 to 30 of 58 articles

Clear Filters

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

HIV research & clinical practice 32000615
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...
Adult Anti-Retroviral Agents Antiretroviral Therapy, Highly Active Drug Resistance, Multiple, Viral Female gag Gene Products, Human Immunodeficiency Virus High-Throughput Nucleotide Sequencing HIV Infections HIV Protease HIV Protease Inhibitors HIV-1 Humans Male Middle Aged Mutation United Kingdom Viral Load Viremia
View on PubMed DOI

A Ligand-Based Virtual Screening Method Using Direct Quantification of Generalization Ability.

Molecules (Basel, Switzerland) 31262005
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...
Computer Simulation HIV Integrase HIV-1 Ligands Machine Learning Models, Chemical
View on PubMed DOI

Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method.

International journal of molecular sciences 31336592
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...
Algorithms Anti-HIV Agents Antiviral Agents Bayes Theorem Databases, Pharmaceutical Drug Discovery Hepacivirus Hepatitis C HIV Infections HIV-1 Humans Machine Learning Models, Molecular Molecular Conformation Molecular Structure Polypharmacology Protein Binding Quantitative Structure-Activity Relationship
View on PubMed DOI

Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Journal of chemical information and modeling 31381335
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...
Drug Design Drug Discovery HIV Infections HIV Protease HIV Protease Inhibitors HIV-1 Humans Ligands Machine Learning Molecular Docking Simulation Protein Binding
View on PubMed DOI

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates.

Scientific reports 31604961
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...
Binding Sites, Antibody Broadly Neutralizing Antibodies Computer Simulation Data Accuracy Deep Learning Drug Resistance, Viral env Gene Products, Human Immunodeficiency Virus Epitope Mapping HIV Antibodies HIV Infections HIV-1 Humans Immunoglobulin Idiotypes Neutralization Tests Prognosis
View on PubMed DOI

Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Journal of chemical theory and computation 31877249
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...
Drug Resistance, Viral HIV Protease HIV Protease Inhibitors HIV-1 Humans Hydrogen Bonding Ligands Machine Learning Molecular Dynamics Simulation Monte Carlo Method Mutation Protein Binding Static Electricity
View on PubMed DOI

Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda.

Journal of the International AIDS Society 32202067
INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk assessment for HIV viraemia and be used to personalize viral load testing schedules. We evaluated the potential of real-time EAM (transferred via cellula...
Adult Anti-HIV Agents CD4 Lymphocyte Count Cohort Studies Drug Monitoring Female HIV Infections HIV-1 Humans Longitudinal Studies Machine Learning Male Medication Adherence Uganda Viral Load Viremia
View on PubMed DOI

Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data.

Viruses 32438586
The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contribute to its high mutation frequency, with some mutations resulting in the evolution of resistance to antiretroviral therapies (ART). As such, studying...
Anti-Retroviral Agents Databases, Genetic Deep Learning Drug Resistance, Viral Genotype HIV Infections HIV-1 Humans Mutation Neural Networks, Computer Phylogeny
View on PubMed DOI

Virtual screening of anti-HIV1 compounds against SARS-CoV-2: machine learning modeling, chemoinformatics and molecular dynamics simulation based analysis.

Scientific reports 33230180
COVID-19 caused by the SARS-CoV-2 is a current global challenge and urgent discovery of potential drugs to combat this pandemic is a need of the hour. 3-chymotrypsin-like cysteine protease (3CLpro) enzyme is the vital molecular target against the SAR...
Anti-HIV Agents Antiviral Agents Cheminformatics Coronavirus 3C Proteases COVID-19 COVID-19 Drug Treatment Deep Learning Drug Evaluation, Preclinical Drug Repositioning HIV-1 Humans Infectious bronchitis virus Molecular Docking Simulation Molecular Dynamics Simulation Protease Inhibitors SARS-CoV-2
View on PubMed DOI

Evolution of drug resistance in HIV protease.

BMC bioinformatics 33375936
BACKGROUND: Drug resistance is a critical problem limiting effective antiviral therapy for HIV/AIDS. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of therapy. These techniques...
Drug Resistance, Viral Evolution, Molecular Genotype HIV Infections HIV Protease HIV Protease Inhibitors HIV-1 Humans Machine Learning Phenotype
View on PubMed DOI
Popular Topics
Recent Journals