Integrative Omics and Systems Pharmacology for COVID-19

Jen-Tsung Chen

• Publisher: Apple Academic Press
• Year: 2025
• eBook ISBN: 9781040805374
• Topic: Biological Sciences
• Subtopic: Pharmacology
• Index: Biological Sciences

In 2019, the emerging RNA virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), gained the ability to infect human beings, then turned into human-to-human transmission, and eventually led to a pandemic of coronavirus disease 2019 (COVID-19), causing serious damage not only to global public health but also economic activities for years. Now, fast-mutating SARS-CoV-2 continues to produce new variants that threaten the world. As such, there is still a high demand for the development of effective treatments for combating new variants of SARS-CoV-2 infection and mitigating diverse post-COVID symptoms, including those who are long-COVID patients.

This book introduces cutting-edge ways for drug discovery and pharmacological approaches to develop treatments and medications for COVID-19 based on modern technologies that highlight the applications of integrated multiple omics and advanced bioinformatics tools. It also lists a range of promising bioactive compounds derived from traditional herbal medicines and natural products. The book explains the expanding strategy to integrate a series of approaches including genomics, metagenomics, transcriptomics, proteomics, metabolomics, epigenomics, and bioinformatics to organize a system of multiple omics. International and reliable multi-omics databases, bioinformatics tools, and software are also comprehensively summarized and thus can be easily accessed by researchers. Artificial intelligence (AI) as a revolutionary tool in the fields of drug discovery, vaccine development, and computational medicine for COVID-19 is also addressed. The coordination and integration of AI tools within the system of multiple omics and the limitations and future directions of AI-assisted strategies for COVID-19-related research are comprehensively discussed as well.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• About the Editor
• Contents
• Contributors
• Preface
• 1. An Overview of COVID-19: Highlighting the Impact of New Variants
• 2. Integrated Omics and Systems Pharmacology-Based Drug Discovery for COVID-19: An Overview
• 3. In Silico and Integrated Pharmacology Approaches for Developing Therapeutics for Treating Infectivity and Immunopathogenesis of SARS-CoV-2: An Overview
• 4. Exploring Natural Compounds and Traditional Herbal Medicines as Anti-SARS-CoV-2 Agents: Insights into Molecular Mechanisms and Systems Pharmacology Approaches
• 5. Network Pharmacology of Natural Compounds and Traditional Herbal Medicines for COVID-19 Treatment
• 6. Multi-Omics and Network Pharmacology Approaches for Unraveling Druggable Targets of Natural Products in COVID-19 Treatment
• 7. Multi-Omics and Artificial Intelligence-Based Therapeutic Screening of Plant-Derived Bioactive Products Against the SARS-CoV-2 Infection
• 8. Systems Pharmacology Approaches on the Anti-SARS-CoV-2 Activity of Natural Products
• 9. Multi-Omics Approaches in the Management of COVID-19: Drug Discovery and Diagnostic Strategies
• 10. Omics Approaches for Anti-SARS-CoV-2 Drug Discovery
• 11. Protein Targets for the Anti-SARS-CoV-2 Activity of Natural Compounds
• 12. Molecular Mechanisms of RNA-Dependent RNA Polymerase Inhibitors Against COVID-19 from Natural Compounds
• 13. Molecular Mechanisms of Proteases 3CLpro and PLpro Inhibitors Against COVID-19 from Natural Compounds and Traditional Herbal Medicines
• 14. Molecular Mechanisms of Helicase Inhibitors Against COVID-19 from Natural Compounds
• 15. Flavonoids: Anti-SARS-CoV-2 Activity Against Protein Targets Revealed by Network Pharmacology
• 16. Natural Compounds of Aquatic Plants Against SARS-CoV-2: The Mode of Action
• 17. Application of Artificial Intelligence on COVID-19 Management and Its Impact on Drug Discovery and Computational Medicine
• Index