Network Pharmacology : Principles, Processes, and Applications

個数：

Network Pharmacology : Principles, Processes, and Applications

  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 306 p.
  • 言語 ENG
  • 商品コード 9781032817002
  • DDC分類 615.1

Full Description

This book comprehensively covers the principles, methodology, and applications of network pharmacology in drug discovery, pharmacovigilance, and precision medicine. The initial chapters guide readers through the principles and processes, detailing step-by-step procedures such as creating networks for compounds and disease targets. The intersection of network pharmacology with quantitative systems pharmacology is explored, along with an examination of various databases and essential software tools for conducting network pharmacological studies. It discusses the role of machine learning and AI in network pharmacology, delves into the application of systems biology for understanding complex diseases' pathogenesis, and highlights its contribution to drug discovery and repurposing. The book reviews the role of network pharmacology in different stages of drug discovery and repurposing, emphasizing its application in shaping drug formulations for enhanced efficacy and reduced side effects. Towards the end, it addresses translatability issues in drug discovery and repositioning predictions in clinical practice. This book caters to professionals, researchers, and advanced students in the pharmaceutical sciences.

Key Features:

Presents principles, methodologies, and applications of network pharmacology
Explores the intersection of network pharmacology with quantitative systems pharmacology
Highlights the role of machine learning and artificial intelligence in network pharmacology
Reviews the role of network pharmacology in different stages of drug discovery and repurposing
Examines the pivotal role of network pharmacology in precision medicine

Contents

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.