AIMC Topic: Hepacivirus

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Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction.

Scientific reports Apr 21, 2024
Hepatitis C, a particularly dangerous form of viral hepatitis caused by hepatitis C virus (HCV) infection, is a major socio-economic and public health problem. Due to the rapid development of deep learning, it has become a common practice to apply de...
Humans Neural Networks, Computer Algorithms Deep Learning Hepacivirus Hepatitis C
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Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns.

JAMA health forum Oct 29, 2021
IMPORTANCE: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C virus (HCV) infections, a known complication of opioid use, grew in parallel with opioid-related complications; however, the literature informing individ...
Opioid-Related Disorders Cross-Sectional Studies United States Humans Analgesics, Opioid Retrospective Studies Hepacivirus Pregnancy Hepatitis C Female Infant, Newborn
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StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.

Journal of computer-aided molecular design Oct 8, 2021
Fast and accurate identification of inhibitors with potency against HCV NS5B polymerase is currently a challenging task. As conventional experimental methods is the gold standard method for the design and development of new HCV inhibitors, they often...
Machine Learning Algorithms Antiviral Agents Humans Hepacivirus Hepatitis C Enzyme Inhibitors Viral Nonstructural Proteins RNA-Dependent RNA Polymerase Support Vector Machine Internet
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Hepatitis C viral load and genotypes among Nigerian subjects with chronic infection and implication for patient management: a retrospective review of data.

The Pan African medical journal Dec 10, 2020
INTRODUCTION: Hepatitis C Virus (HCV) is highly infectious with no currently available vaccine. Prior to treatment, it is recommended to confirm HCV infection with either quantitative or qualitative nucleic acid test. Access to these assays in Nigeri...
Genotype Hepacivirus Hepatitis C, Chronic Prevalence Adolescent Nigeria Viral Load Antiviral Agents Humans Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged
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Predicting cryptic ligand binding sites based on normal modes guided conformational sampling.

Proteins Dec 5, 2020
To greatly expand the druggable genome, fast and accurate predictions of cryptic sites for small molecules binding in target proteins are in high demand. In this study, we have developed a fast and simple conformational sampling scheme guided by norm...
Humans Coronavirus Papain-Like Proteases Karyopherins Protein Tyrosine Phosphatase, Non-Receptor Type 1 Exportin 1 Protein Area Under Curve Antigens, CD Molecular Dynamics Simulation Computational Biology Hepacivirus Antigens, Neoplasm Ligands Interleukin-2 Elasticity Machine Learning Models, Statistical Protein Conformation Algorithms Regression Analysis Receptors, Cytoplasmic and Nuclear Reproducibility of Results Binding Sites SARS-CoV-2 Coronavirus 3C Proteases ROC Curve
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Target-Centered Drug Repurposing Predictions of Human Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Protease Serine Subtype 2 (TMPRSS2) Interacting Approved Drugs for Coronavirus Disease 2019 (COVID-19) Treatment through a Drug-Target Interaction Deep Learning Model.

Viruses Nov 18, 2020
Previously, our group predicted commercially available Food and Drug Administration (FDA) approved drugs that can inhibit each step of the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using a deep learning-based drug-ta...
Humans COVID-19 Drug Treatment Serine Endopeptidases Virus Replication Angiotensin-Converting Enzyme 2 Virus Internalization SARS-CoV-2 Deep Learning Drug Development Drug Repositioning Hepacivirus
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Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.

PloS one Jan 10, 2020
Several European countries have established criteria for prioritising initiation of treatment in patients infected with the hepatitis C virus (HCV) by grouping patients according to clinical characteristics. Based on neural network techniques, our ob...
Hepacivirus Hepatitis C AIDS-Related Opportunistic Infections Spain Adolescent Antiviral Agents Follow-Up Studies Coinfection HIV Neural Networks, Computer Machine Learning Decision Support Techniques Prospective Studies Female Aged Young Adult Adult Male Middle Aged Humans
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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...
Molecular Conformation Quantitative Structure-Activity Relationship Databases, Pharmaceutical Polypharmacology Molecular Structure Bayes Theorem Hepacivirus Hepatitis C HIV-1 Humans Machine Learning Algorithms Antiviral Agents Protein Binding Models, Molecular Drug Discovery HIV Infections Anti-HIV Agents
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Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations.

Proceedings of the National Academy of Sciences of the United States of America Dec 26, 2018
Biophysical interactions between proteins and peptides are key determinants of molecular recognition specificity landscapes. However, an understanding of how molecular structure and residue-level energetics at protein-peptide interfaces shape these l...
Antiviral Agents Substrate Specificity Peptide Hydrolases High-Throughput Nucleotide Sequencing Energy Metabolism Metabolomics Drug Resistance, Viral Structure-Activity Relationship Serine Proteases Models, Molecular Viral Nonstructural Proteins Supervised Machine Learning Hepacivirus
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Ritonavir-boosted paritaprevir, ombitasvir plus ribavirin could improve eGFR in patients with renal impairment and HCV: an Egyptian cohort.

Expert review of gastroenterology & hepatology Nov 13, 2018
BACKGROUND: The present study aimed at evaluation of changes in estimated glomerular filtration rate (eGFR) among chronic Hepatitis C virus (HCV) patients with chronic kidney disease (CKD) Stages 3-5 who were treated with 12 weeks of ritonavir-booste...
Drug Therapy, Combination Hepatitis C, Chronic Valine Anilides Carbamates Humans Lactams, Macrocyclic Prospective Studies Macrocyclic Compounds Ribavirin Sustained Virologic Response Middle Aged Recovery of Function Kidney Renal Dialysis Egypt Female Renal Insufficiency, Chronic Viral Load Time Factors Sulfonamides Aged Treatment Outcome Hepacivirus Young Adult Glomerular Filtration Rate Proline Antiviral Agents Adult Cyclopropanes Genotype Male
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