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In Silico Modeling of Drugs Against Coronaviruses

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Cover of 'In Silico Modeling of Drugs Against Coronaviruses'

Table of Contents

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    Book Overview
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    Chapter 45 The Origin, Transmission, and Clinical Therapies in the Management of Coronavirus Diseases
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    Chapter 46 Dissecting the Drug Development Strategies Against SARS-CoV-2 Through Diverse Computational Modeling Techniques
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    Chapter 47 History and Recent Advances in Coronavirus Discovery
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    Chapter 48 Online Tools and Antiviral Databases for the Development of Drugs Against Coronaviruses
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    Chapter 49 Computational Modeling of ACE2-Mediated Cell Entry Inhibitors for the Development of Drugs Against Coronaviruses
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    Chapter 50 Nonequilibrium Alchemical Simulations for the Development of Drugs Against Covid-19
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    Chapter 51 Computational Modeling of RdRp Inhibitors for the Development of Drugs against Novel Coronavirus (nCoV)
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    Chapter 52 Molecular Multi-target Approach on COVID-19 for Designing Novel Chemicals
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    Chapter 53 Online Resource and Tools for the Development of Drugs Against Novel Coronavirus
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    Chapter 54 Therapeutic and Vaccine Strategies for Stopping the COVID-19 Pandemic Based on Structural and Molecular Modeling Studies of Virus-Ganglioside Interactions
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    Chapter 55 Computational Modeling of Chloroquine Analogues for Development of Drugs Against Novel Coronavirus (nCoV)
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    Chapter 56 Discovery of Covalent Drugs Targeting the Key Enzymes of SARS-CoV-2 Using SCARdock
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    Chapter 57 Transmission, Medical Consequences, and Prevention/Treatment of COVID-19 Infection
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    Chapter 58 Deep Learning-Based Drug Screening for COVID-19 and Case Studies
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    Chapter 59 Structural Bioinformatics to Unveil Weaknesses of Coronavirus Spike Glycoprotein Stability
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    Chapter 60 Computational Methods and Tools for Repurposing of Drugs Against Coronaviruses
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    Chapter 61 Molecular Simulation–Driven Drug Repurposing for the Identification of Inhibitors Against Non-Structural Proteins of SARS-CoV-2
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    Chapter 62 Protein–Protein Interaction Network for the Identification of New Targets Against Novel Coronavirus
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    Chapter 63 Virtual Screening of Natural Compounds Targeting Proteases of Coronaviruses and Picornaviruses
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    Chapter 64 Molecular-Level Targets for the Development of Therapies Against Coronavirus Diseases
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    Chapter 65 Ligand-Based Approaches for the Development of Drugs Against SARS-CoV-2
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    Chapter 66 Drug Databases for Development of Therapeutics Against Coronaviruses
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    Chapter 67 Candidate Drugs for the Potential Treatment of Coronavirus Diseases
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    Chapter 68 Computational Drug Repurposing for the Development of Drugs Against Coronaviruses
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    Chapter 69 Computational Modeling of Protease Inhibitors for the Development of Drugs Against Coronaviruses
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    Chapter 70 Machine Learning Techniques for Development of Drugs Against Coronavirus Disease 2019 (COVID-19): A Case Study Protocol
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    Chapter 71 Computational Modeling of ACE2 Inhibitors for Development of Drugs Against Coronaviruses
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Title
In Silico Modeling of Drugs Against Coronaviruses
Published by
Springer US, July 2021
DOI 10.1007/978-1-0716-1366-5
ISBNs
978-1-07-161365-8, 978-1-07-161366-5
Editors

Roy, Kunal

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