Network Pharmacology

Principles, Processes, and Applications
Herausgeber: Kumar, Anoop; Patil, C. R.

• Gebundenes Buch

Produktbeschreibung

This book covers the principles, methodology, and applications of network pharmacology in drug formulations, repurposing, formation and discovery, pharmacovigilance, and precision medicine, and presents the role of machine learning and AI in network pharmacology. It caters to professionals and advanced students of pharmaceutical sciences.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 306
• Erscheinungstermin: 27. November 2025
• Englisch
• Abmessung: 287mm x 217mm x 21mm
• Gewicht: 1088g
• ISBN-13: 9781032817002
• ISBN-10: 1032817003
• Artikelnr.: 73984924

Autorenporträt

Anoop Kumar currently working as an Assistant Professor in the Department of Pharmacology, Delhi Institute of Pharmaceutical Education and Research (DIPSAR), Delhi Pharmaceutical Sciences & Research University (DPSRU), Govt of NCT of Delhi. He has more than 10 years of teaching and research experience in reputed organizations like Cipla Pharmaceutical Limited Baddi, Shanti Niketan College of Pharmacy, Mandi, Sun Pharmaceutical Industries Limited, Gurugram, Translational Health Science Institute (THSTI), Faridabad, ISF College of Pharmacy, Moga, Punjab and National Institute of Pharmaceutical Education and Research (NIPER), Raebareli. Recently, he has also been included in top 2% list of scientists released by Stanford. His current h-index is 28, and i10-index 70 with citations of 3016 with more than 100 research and review articles. His lab gets funding from various government bodies like DST SERB, ICMR, NIF, and IIT-Delhi. Chandragouda R. Patil is serving as a Professor of Pharmacology at R.C. Patel Institute of Pharmaceutical Education and Research, Shirpur, India. He has total 25 years of teaching experience in the subject of Pharmacology, Pathophysiology and Clinical Pharmacology. Dr. Patil is a recipient of prestigious National Teachers Award-2023 (Ministry of Education, Govt. of India), Innovator Teacher award-2016 (Ministry of Human Resources, Govt. of India), Young Scientist Award-2016 (Ministry of AYUSH, Govt. of India). He has more than 100 research and review publications to his credit with the h-index 36 and i-10 index 71. His educational software 'Xcology Pro' and CALpharm have supported the teaching and learning of experimental pharmacology at undergraduate and postgraduate learning.

Inhaltsangabe

Introduction to Network Pharmacology. 2. Principles and Processes involved
in Network Pharmacology. 3. Quantitative Systems Pharmacology. 4. Network
Pharmacology Databases and Software's. 5. Application of machine learning
and artificial intelligence-based tools in network pharmacology. 6. Role of
system biology in drug discovery and repurposing. 7. Role of network
pharmacology in herbal drug discovery and development. 8. Case Study of
Network Pharmacology in Pharmacovigilance. 9. Network Pharmacology in
Pharmaceutical Formulations. 10. Role of Network Pharmacology in Precision
Medicine. 11. Unveiling Drug-Target Interactions and Disease Pathways:
Leveraging Cytoscape for Comprehensive Network Pharmacology and Addressing
Challenges. 12. Cherylline, a phytoconstituent of Crinum moorei, targets
MAO-A in Alzheimer's disease: Network pharmacology integrated with
molecular docking and dynamics studies. 13. Case Studies on Network
Pharmacology In Predicting The Mechanism Of Herbal Drugs. 14. Ethics in
Network Pharmacology: Challenges and Opportunities. 15. Applications,
Current Challenges, and Future Perspectives of Network Pharmacology. 16.
Network pharmacology: illuminating the path towards exploring the herbal
formulations of the Indian Traditional Ayurvedic System. 17. Role of
Network Pharmacology in Medicinal Chemistry. 18. Role of Network
Pharmacology in Homoepathy. 19. Role of Network Pharmacology in Traditional
Chinese Medicine (TCM) System.