In Silico Modeling of Drugs Against Coronaviruses

In Silico Modeling of Drugs Against Coronaviruses

Computational Tools and Protocols

Roy, Kunal

Springer-Verlag New York Inc.

08/2021

788

Dura

Inglês

9781071613658

15 a 20 dias

1712

Descrição não disponível.
- Part I Introduction. - History and Recent Advances in Coronavirus Discovery. - The Origin, Transmission, and Clinical Therapies in the Management of Coronavirus Diseases. - Transmission, Medical Consequences, and Prevention/Treatment of COVID-19 Infection. - Molecular-Level Targets for the Development of Therapies Against Coronavirus Diseases. - Candidate Drugs for the Potential Treatment of Coronavirus Diseases. - Part II Tools and Methodologies. - Ligand-Based Approaches for theDevelopment of Drugs Against SARS-CoV-2. - Computational Drug Repurposing for the Development of Drugs Against Coronaviruses. - Computational Methods and Tools for Repurposing of Drugs Against Coronaviruses. - Molecular Multi-target Approach on COVID-19 for Designing Novel Chemicals. - Structural Bioinformatics to Unveil Weaknesses of Coronavirus Spike Glycoprotein Stability. - Protein-Protein Interaction Network for the Identification of New Targets Against Novel Coronavirus. - Nonequilibrium Alchemical Simulations for the Development of DrugsAgainst Covid-19. - Therapeutic and Vaccine Strategies for Stopping the COVID-19 Pandemic Based on Structural and Molecular Modeling Studies of Virus-Ganglioside Interactions. - Discovery of Covalent Drugs Targeting the Key Enzymes of SARS-CoV-2 Using SCARdock. - Machine Learning Techniques for Development of Drugs Against Coronavirus Disease 2019 (COVID-19): A Case Study Protocol. - Part III Case Studies and Literature Reports. - Dissecting the Drug Development Strategies Against SARS-CoV-2 Through Diverse Computational Modeling Techniques. - Recent Perspectives on COVID-19 and Computer-Aided Virtual Screening ofNatural Compounds for the Development of Therapeutic Agents Towards SARS-CoV-2. - Computational Modeling of Protease Inhibitors for the Development of Drugs Against Coronaviruses. - Computational Modeling of ACE2-Mediated Cell Entry Inhibitors for the Development of Drugs Against Coronaviruses. - Computational Modeling of RdRp Inhibitors for the Development of Drugs against Novel Coronavirus (nCoV). - Computational Modeling of Chloroquine Analogues for Development of Drugs Against Novel Coronavirus (nCoV). - Computational Modeling of ACE2 Inhibitors for Development of Drugs Against Coronaviruses. - Deep Learning-Based Drug Screening for COVID-19 and Case Studies. - Virtual Screening of Natural Compounds Targeting Proteases of Coronaviruses and Picornaviruses. - Molecular Simulation-Driven Drug Repurposing for the Identification of Inhibitors Against Non-Structural Proteins of SARS-CoV-2. - Part IV Online Tools and Databases. - Online Tools and Antiviral Databases for the Development of Drugs Against Coronaviruses. - Online Resource and Tools for the Development of Drugs Against Novel Coronavirus. - Drug Databases for Development of Therapeutics Against Coronaviruses.
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Coronavirus;Computational modeling;Drug repurposing;Structure-based modeling;Ligand-based modeling;Novel anti-coronavirus drugs;COVID-19;SARS-CoV-2;Therapeutic targets