Pharmaceutical Science & Technology

Integrative Omics and Systems Pharmacology for COVID-19
Editor: Jen-Tsung Chen, PhD

Integrative Omics and Systems Pharmacology for COVID-19

In Production
Pub Date: Forthcoming August 2025
Hardback Price: $220 US | £170 UK
Hard ISBN: 9781998511204
Pages: Est. 428pp w/index
Binding Type: Hardback / ebook
Notes: 17 color and 90 b/w illustrations

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. A comprehensive overview of COVID-19 is provided, focusing on the impact of new variants and the emerging trend of vaccine development. This book also presents efficient modern strategies for developing drugs and immunotherapeutics using in silico and integrated pharmacology, through uncovering chief host/viral protein targets such as angiotensinogen-converting enzyme 2 (ACE-2), toll-like receptors (TLRs), transmembrane serine protease 2 (TMPRSS2), papain-like protease (PLpro), main protease (Mpro), 3-chymotrypsin-like protease (3CLpro), and RNA-dependent RNA polymerase (RdRp), etc., and cellular processes involving several important infectious and inflammatory pathways. Theoretically, by inhibiting and controlling the activity of these crucial protein targets, anti-virus agents might suppress COVID-19 infection, mitigate COVID-19 symptoms, and prevent the development of long-COVID.

This book presents a powerful way to discover drug candidates performed by systems/network pharmacology. It systematically 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 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.

Integrative Omics and Systems Pharmacology for COVID-19 provides state-of-the-art methods and applications of integrative omics and systems pharmacology for exploring treatments and medications for COVID-19, making it an ideal resource for researchers, lecturers, professors, experts, and students in diverse sub-fields and cross-fields of life sciences such as bioactive compounds, biochemistry, bioinformatics, biomedical science, computational biology, drug discovery, marine drugs, molecular docking, natural products, systems biology, systems/network pharmacology, general pharmacology, multiple omics, high-throughput technologies, traditional herbal medicines, viral diseases, and epidemiology.

CONTENTS:
Preface

1. An Overview of COVID-19: Highlighting the Impact of New Variants

Aqsa Majgaonkar, Dwaipayan Sinha, Zoofishan Kazi, Abhra Abir Chowdhury, Supti Das, Arun Kumar Maurya, and Nisha Bhat

2. Integrated Omics and Systems Pharmacology-Based Drug Discovery for COVID-19: An Overview
Kruthi Ashok Kumar, Rithika Shibu, Raunak Kumar Das, Ramya Shanmugam, Alagarsamy Sumitrha, Shanmugam Gavaskar, Shanmugam Velayuthaprabhu, and Arumugam Vijaya Anand

3. In-Silico and Integrated Pharmacology Approaches for Developing Therapeutics for Treating Infectivity and Immunopathogenesis of SARS-Cov-2: An Overview
Atrayee Dey, Diptesh Goswami, Shubhranil Brahma, Ankita Chakraborty, and Suprabhat Mukherjee

4. Exploring Natural Compounds and Traditional Herbal Medicines As Anti-SARS-Cov-2 Agents: Insights Into Molecular Mechanisms and Systems Pharmacology Approaches
Anand Kumar Pandey and Shalja Verma

5. Network Pharmacology of Natural Compounds and Traditional Herbal Medicines for COVID-19 Treatment
Arun Bahadur Gurung andAtanu Bhattacharjee

6. Multiomics and Network Pharmacology Approaches for Unraveling Druggable Targets of Natural Products In COVID-19 Treatment
Eman Shawky and Reham S. Ibrahim

7. Multi-Omics and Artificial Intelligence-Based Therapeutic Screening of Plant-Derived Bioactive Products Against the SARS-Cov-2 Infection
Muhammad Adil and Pragya Tiwari

8. Systems Pharmacology Approaches onn the Anti-SARS-Cov-2 Activity of Natural Products
Samiksha Garse, Juhi Gupta, Vaishnavi Thakur, Shine Devarajan, Mustansir Bhori, Kanchanlata Tungare, and Sekar Vijayakumar

9. Multi-Omics Approaches in the Management of COVID-19: Drug Discovery and Diagnostic Strategies
Rania Hamdy, Ahmed M Almehdi, Ihsan Shehadi, Kareem Mosa, Ismail Saadoun, Ali Ali El-Keblawy, and Sameh S. M. Soliman

10. Omics Approaches for Anti-SARS-Cov-2-Drug Discovery
Sora Yasri and Viroj Wiwanitkit

11. Protein Targets for the Anti-SARS-Cov-2 Activity of Natural Compounds
Sora Yasri and Viroj Wiwanitkit

12. Molecular Mechanisms of RNA-Dependent RNA Polymerase Inhibitors Against COVID-19 from Natural Compounds
Bancha Yingngam

13. Molecular Mechanisms of Proteases 3clpro and PLpro Inhibitors Against COVID-19 from Natural Compounds and Traditional Herbal Medicines
Raghvendra Dubey and Kushagra Dubey

14. Molecular Mechanisms of Helicase Inhibitors Against COVID-19 from Natural Compounds
Karmakar Debprosit, Joshi Vedant, Tenguriya Kanishka, Ravindra Verma, and Kotnis Ashwin

15. Flavonoids: Anti-SARS-Cov-2 Activity Against Protein Targets Revealed by Network Pharmacology
Gunna Sureshbabu Suruthi, Ramesh Nivedha, Vishnu Puliyampatty Gunasekaran, Marudhachalam Kamalesh, Arthi Boro, Balasubramanian Balamuralikrishnan, Puzhakkal Abhirami, and Arumugam Vijaya Anand

16. Natural Compounds of Aquatic Plants Against SARS-Cov-2: The Mode of Action
Ahmed E. Alprol and Mohamed Ashour

17. Application of Artificial Intelligence on COVID-19 Management and Its Impact on Drug Discovery and Computational Medicine
Ramesh Nivedha, Gunna Sureshbabu Suruthi, Amardeep Preethi, Shanmugam Gavaskar, Alagarsamy Sumitrha, Puzhakkal Abhirami, Arthi Boro, and Arumugam Vijaya Anand

Index


About the Authors / Editors:
Editor: Jen-Tsung Chen, PhD
Professor of Cell Biology, Department of Life Sciences, National University of Kaohsiung, Taiwan

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. Dr. Chen has been included in the list of the World Top 2% Scientists 2023 by Stanford University.




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