AIMC Topic: Viral Matrix Proteins

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NIgPred: Class-Specific Antibody Prediction for Linear B-Cell Epitopes Based on Heterogeneous Features and Machine-Learning Approaches.

Viruses Aug 3, 2021
Upon invasion by foreign pathogens, specific antibodies can identify specific foreign antigens and disable them. As a result of this ability, antibodies can help with vaccine production and food allergen detection in patients. Many studies have focus...
Humans Machine Learning Software COVID-19 Algorithms Immunoglobulin G SARS-CoV-2 Spike Glycoprotein, Coronavirus Immunoglobulin E Phosphoproteins Immunoglobulin A Epitopes, B-Lymphocyte Viral Matrix Proteins Coronavirus Nucleocapsid Proteins Coronavirus Envelope Proteins
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Repurposing potential of FDA-approved and investigational drugs for COVID-19 targeting SARS-CoV-2 spike and main protease and validation by machine learning algorithm.

Chemical biology & drug design Dec 22, 2020
The present study aimed to assess the repurposing potential of existing antiviral drug candidates (FDA-approved and investigational) against SARS-CoV-2 target proteins that facilitates viral entry and replication into the host body. To evaluate molec...
Humans Machine Learning COVID-19 SARS-CoV-2 Molecular Docking Simulation Antiviral Agents Spike Glycoprotein, Coronavirus Cell Line Cell Survival Drug Repositioning Structure-Activity Relationship COVID-19 Drug Treatment Binding Sites Protease Inhibitors Deoxyadenosines Viral Matrix Proteins
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