AIMC Topic: Antiviral Agents

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Experimental Data Based Machine Learning Classification Models with Predictive Ability to Select in Vitro Active Antiviral and Non-Toxic Essential Oils.

Molecules (Basel, Switzerland) May 25, 2020
In the last decade essential oils have attracted scientists with a constant increase rate of more than 7% as witnessed by almost 5000 articles. Among the prominent studies essential oils are investigated as antibacterial agents alone or in combinatio...
Humans Animals Microbial Sensitivity Tests Oils, Volatile Gas Chromatography-Mass Spectrometry Chlorocebus aethiops Vero Cells Herpesvirus 1, Human Lamiales Antiviral Agents Plant Oils Structure-Activity Relationship Supervised Machine Learning
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Target Identification Using Homopharma and Network-Based Methods for Predicting Compounds Against Dengue Virus-Infected Cells.

Molecules (Basel, Switzerland) Apr 18, 2020
Drug target prediction is an important method for drug discovery and design, can disclose the potential inhibitory effect of active compounds, and is particularly relevant to many diseases that have the potential to kill, such as dengue, but lack any...
Antiviral Agents Protein Interaction Maps Computational Biology Lipids Dengue Virus Humans Neural Networks, Computer Drug Discovery Host-Pathogen Interactions Virus Replication Protein Interaction Mapping Dengue
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Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

The Journal of investigative dermatology Mar 31, 2020
Although deep learning algorithms have demonstrated expert-level performance, previous efforts were mostly binary classifications of limited disorders. We trained an algorithm with 220,680 images of 174 disorders and validated it using Edinburgh (1,3...
Humans Anti-Bacterial Agents Female Skin Neoplasms Dermoscopy Drug Therapy, Computer-Assisted Image Interpretation, Computer-Assisted Datasets as Topic Photography Internship and Residency Adolescent ROC Curve Antiviral Agents Antifungal Agents Skin Feasibility Studies Dermatologists Skin Diseases Dermatology Aged Middle Aged Young Adult Glucocorticoids Adult Deep Learning Male Clinical Competence
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DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.

IEEE journal of biomedical and health informatics Feb 28, 2020
Antiviral peptides (AVPs) have been experimentally verified to block virus into host cells, which have antiviral activity with decapeptide amide. Therefore, utilization of experimentally validated antiviral peptides is a potential alternative strateg...
Computational Biology Neural Networks, Computer Peptides Drug Discovery Deep Learning Antiviral Agents
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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 Antiviral Agents Follow-Up Studies Coinfection HIV Adult Male Middle Aged Adolescent Humans Neural Networks, Computer Machine Learning Decision Support Techniques Prospective Studies Female Aged Young Adult
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Undersampling: case studies of flaviviral inhibitory activities.

Journal of computer-aided molecular design Nov 26, 2019
Imbalanced datasets, comprising of more inactive compounds relative to the active ones, are a common challenge in ligand-based model building workflows for drug discovery. This is particularly true for neglected tropical diseases since efforts to ide...
West Nile virus Support Vector Machine Dengue Virus Zika Virus Flaviviridae Humans Flaviviridae Infections Drug Discovery Antiviral Agents
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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...
Models, Molecular Molecular Structure Bayes Theorem Hepacivirus Hepatitis C HIV-1 Molecular Conformation Quantitative Structure-Activity Relationship Polypharmacology HIV Infections Databases, Pharmaceutical Anti-HIV Agents Humans Antiviral Agents Machine Learning Protein Binding Algorithms Drug Discovery
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AntiVPP 1.0: A portable tool for prediction of antiviral peptides.

Computers in biology and medicine Feb 19, 2019
Viruses are worldwide pathogens with a high impact on the human population. Despite the constant efforts to fight viral infections, there is a need to discover and design new drug candidates. Antiviral peptides are molecules with confirmed activity a...
User-Computer Interface Machine Learning Antiviral Agents Software Computational Biology Algorithms Decision Trees Peptides Databases, Protein
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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...
Drug Resistance, Viral Serine Proteases Viral Nonstructural Proteins Substrate Specificity Peptide Hydrolases Supervised Machine Learning Hepacivirus High-Throughput Nucleotide Sequencing Antiviral Agents Energy Metabolism Metabolomics Structure-Activity Relationship Models, Molecular
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Functional expression of porcine interferon-α using a combinational strategy in Pichia pastoris GS115.

Enzyme and microbial technology Dec 10, 2018
Porcine interferon-α (pIFN-α) could be used as the vaccine adjuvant to enhance the antiviral ability of porcine in swine industry. In here, a combinational strategy integrating codon optimization, multiple gene insertion, strong AOX1 promoter, and ef...
Methanol Interferon-alpha Fermentation Pichia Vesiculovirus Recombinant Proteins Cell Line Gene Expression Animals Bioreactors Swine Cattle Antiviral Agents
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