Principles of Antiviral Drug Development
Rapid Discovery Technologies and Practical Applications
- 1st Edition - December 1, 2026
- Latest edition
- Author: Ailin Liu
- Language: English
Principles of Antiviral Drug Development: Rapid Discovery Technologies and Practical Applications systematically integrates the major experimental techniques and virtual drug s… Read more
Description
Description
Principles of Antiviral Drug Development: Rapid Discovery Technologies and Practical Applications systematically integrates the major experimental techniques and virtual drug screening methods involved in the discovery of antiviral drugs, and provides a detailed discussion of their applications: among them, the combination of virtual drug screening technologies coupled with experimental methods offers strong potential for the rapid discovery of antiviral agents. The book also discusses activity-guided extraction, isolation, and activity evaluation of active components in order to reveal the material basis of antiviral activity and preliminary mechanisms of action. The book also discusses: drug repurposing of approved medicines; and an analysis of the discovery and mechanistic studies of a series of antiviral natural products which offer important information on the needs of future research, development, together with the clinical application of new antiviral drugs.
Key features
Key features
- Introduces a large number of new active compounds obtained by the combination of high-throughput screening and virtual screening
- Presents a series of drug screening models based on both viral targets and host targets
- Reviews the virtual screening methods and their applications
- Integrates new technologies and approaches – “Internet Plus”, big data, and artificial intelligence – in the field of antiviral drug development
Readership
Readership
Scientists and senior postgraduate students engaged in antiviral drug research and development
Table of contents
Table of contents
Part I: Experimental Techniques for Virus Preparation
1. Chicken Embryo Culture Method
2. Animal Inoculation Method
3. Tissue Culture Method
4. Plaque Assay and Plaque Reduction Neutralization Test
5. Hemagglutination and Hemagglutination Inhibition Assays
Part II: New Drug Discovery and Pharmacological Evaluation
6. Evaluation of Influenza Virus Neuraminidase Inhibitory Activity
7. Evaluation of Influenza Virus Endonuclease Inhibitory Activity
8. Evaluation of Influenza Virus Hemagglutinin Inhibitory Activity
9. Evaluation of Host Key Protein CLK1 Inhibitory Activity
10. Evaluation of Inhibitory Activity of SARS-CoV-2 3CLpro Inhibitors
11. Evaluation of Inhibitory Activity Against Virus-Induced Cytopathic Effects
12. Mouse Model of Influenza Virus Infection and Pharmacodynamic Evaluation
13. RT-PCR Detection Techniques
14. Detection of Inflammatory Cytokines
Part III: Virtual Screening and Network Computing Methods
15. Overview of Computational Resources for Virtual Screening
16. Structure-Based Virtual Screening
17. Ligand-Based Virtual Screening
18. Network-Based Virtual Screening
19. Technical Methods in Network Pharmacology
Part IV: Drug Discovery Targeting Viral Proteins
20. Establishment and Application of a High-Throughput Screening Model for Influenza Virus Neuraminidase (NA) Inhibitors
21. Establishment of a Screening Model for Influenza Virus RNA Polymerase Endonuclease Inhibitors and New Drug Discovery
22. Extraction, Isolation, and Activity Evaluation of Anti-Influenza Virus Active Components from Elsholtzia rugulosa
23. Extraction, Isolation, and Activity Evaluation of Anti-Influenza Virus Active Components from Caesalpinia sappan
24. Studies on Anti-Influenza Virus Active Components from Pithecellobium clypearia and Other Traditional Chinese Medicines
25. Structure–Activity Relationship Analysis of Flavonoids as Influenza Virus NA Inhibitors
26. Re-Evaluation of the In Vitro Anti-Influenza Virus Effects of Commonly Used Chinese Patent Medicines
Part V: Drug Discovery Targeting Host Proteins
27. Establishment of a Screening Model for Host Protein CLK1 Inhibitors and New Drug Discovery
28. In Vivo Anti-Influenza Virus Efficacy and Mechanism of Action of Clypearin
Part VI: Drug Discovery Based on Virtual Screening and Network Computing
29. Establishment of a Machine Learning-Based Prediction Model for Influenza Virus NA Inhibitors and New Drug Discovery
30. Discovery of SARS-CoV-2 3CLpro Inhibitors Based on Machine Learning and In Vitro Antiviral Activity Validation
31. Anti-Influenza Virus Drug Discovery Based on Network Proximity Method and Host–Virus Interactome
32. Anti-SARS-CoV-2 Drug Discovery Based on Network Proximity Method and Host–Virus Interactome
33. In Vivo and In Vitro Pharmacodynamic Confirmation and Mechanistic Study of Salmeterol Against Influenza A Virus
34. Prediction of Active Anti-Influenza Components of Compound YIzhihao and Network Mechanism Study
35. Material Basis and Network Mechanism Study of Xiaochaihu Decoction Against Coronavirus Infection
1. Chicken Embryo Culture Method
2. Animal Inoculation Method
3. Tissue Culture Method
4. Plaque Assay and Plaque Reduction Neutralization Test
5. Hemagglutination and Hemagglutination Inhibition Assays
Part II: New Drug Discovery and Pharmacological Evaluation
6. Evaluation of Influenza Virus Neuraminidase Inhibitory Activity
7. Evaluation of Influenza Virus Endonuclease Inhibitory Activity
8. Evaluation of Influenza Virus Hemagglutinin Inhibitory Activity
9. Evaluation of Host Key Protein CLK1 Inhibitory Activity
10. Evaluation of Inhibitory Activity of SARS-CoV-2 3CLpro Inhibitors
11. Evaluation of Inhibitory Activity Against Virus-Induced Cytopathic Effects
12. Mouse Model of Influenza Virus Infection and Pharmacodynamic Evaluation
13. RT-PCR Detection Techniques
14. Detection of Inflammatory Cytokines
Part III: Virtual Screening and Network Computing Methods
15. Overview of Computational Resources for Virtual Screening
16. Structure-Based Virtual Screening
17. Ligand-Based Virtual Screening
18. Network-Based Virtual Screening
19. Technical Methods in Network Pharmacology
Part IV: Drug Discovery Targeting Viral Proteins
20. Establishment and Application of a High-Throughput Screening Model for Influenza Virus Neuraminidase (NA) Inhibitors
21. Establishment of a Screening Model for Influenza Virus RNA Polymerase Endonuclease Inhibitors and New Drug Discovery
22. Extraction, Isolation, and Activity Evaluation of Anti-Influenza Virus Active Components from Elsholtzia rugulosa
23. Extraction, Isolation, and Activity Evaluation of Anti-Influenza Virus Active Components from Caesalpinia sappan
24. Studies on Anti-Influenza Virus Active Components from Pithecellobium clypearia and Other Traditional Chinese Medicines
25. Structure–Activity Relationship Analysis of Flavonoids as Influenza Virus NA Inhibitors
26. Re-Evaluation of the In Vitro Anti-Influenza Virus Effects of Commonly Used Chinese Patent Medicines
Part V: Drug Discovery Targeting Host Proteins
27. Establishment of a Screening Model for Host Protein CLK1 Inhibitors and New Drug Discovery
28. In Vivo Anti-Influenza Virus Efficacy and Mechanism of Action of Clypearin
Part VI: Drug Discovery Based on Virtual Screening and Network Computing
29. Establishment of a Machine Learning-Based Prediction Model for Influenza Virus NA Inhibitors and New Drug Discovery
30. Discovery of SARS-CoV-2 3CLpro Inhibitors Based on Machine Learning and In Vitro Antiviral Activity Validation
31. Anti-Influenza Virus Drug Discovery Based on Network Proximity Method and Host–Virus Interactome
32. Anti-SARS-CoV-2 Drug Discovery Based on Network Proximity Method and Host–Virus Interactome
33. In Vivo and In Vitro Pharmacodynamic Confirmation and Mechanistic Study of Salmeterol Against Influenza A Virus
34. Prediction of Active Anti-Influenza Components of Compound YIzhihao and Network Mechanism Study
35. Material Basis and Network Mechanism Study of Xiaochaihu Decoction Against Coronavirus Infection
Product details
Product details
- Edition: 1
- Latest edition
- Published: December 1, 2026
- Language: English
About the author
About the author
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Ailin Liu
Professor Ailin Liu is based at the Institute of Materia Medica, Peking Union Medical College and Chinese Academy of Medical Sciences. Her research interests cover studies on discovery and mechanism of new drugs for anti-viral infection diseases and anti-Alzheimer’s disease, as well as the studies on network pharmacology and drug informatics of traditional Chinese medicine. Professor Liu has presided and participated more than 30 national-level new drug development projects, published more than 180 research papers, obtain more than 10 authorized patents and received 5 Science and Technology Progress Awards issued by the People's Government of Beijing Municipality or the Chinese Medical Association
Affiliations and expertise
Peking Union Medical College and Chinese Academy of Medical Sciences, China