Provides latest methods and applications of integrative omics and systems pharmacology for exploring treatments and medications for COVID-19. It presents a powerful way to discover drug candidates performed by systems/network pharmacology.
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.
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.
Jen-Tsung Chen, PhD, is a Professor of Cell Biology at the National University of Kaohsiung in Taiwan, where he teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chens research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals in an effort to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, systems biology, and drug discovery. He serves as an editorial board member and a guest editor for several reputed journals. Dr. Chen has published books in collaboration with international publishers on diverse topics such as drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, CRISPR-based plant genome editing, and artificial intelligence. He has been included in the list of the Worlds Top 2% Scientists 2023 by Stanford University.
