Integrative Omics and Systems Pharmacology for Covid-19

1. Auflage 2025
ISBN: 978-1-998511-20-4
Verlag: Apple Academic Press

Buch, Englisch, 456 Seiten, Format (B × H): 178 mm x 254 mm

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Chen, Jen-Tsung

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Pharmazeutische Technologie

Inhaltsverzeichnis

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.

Über Autor(innen)

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. Chen’s 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 World’s Top 2% Scientists 2023 by Stanford University.