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.
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.
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.
Inhaltsangabe
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.
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.
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