Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques: Volume 103
            
暫譯: 顛覆藥物發現:前沿計算技術:第103卷
        
        Verma, Swati, Grewal, Ajmer Singh, Narayan, Chaitanay Vinayak
- 出版商: Academic Press
 - 出版日期: 2025-05-21
 - 售價: $8,450
 - 貴賓價: 9.5 折 $8,028
 - 語言: 英文
 - 頁數: 480
 - 裝訂: Hardcover - also called cloth, retail trade, or trade
 - ISBN: 0443346496
 - ISBN-13: 9780443346491
 - 
    相關分類:
    
      Machine Learning
 
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商品描述
      Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques is an essential guide for professionals, researchers, and students in the pharmaceutical and biotech industries, providing an in-depth look at how computational methods transform drug development. This book explores advanced tools like molecular modeling, machine learning, and AI-driven design, which accelerate drug discovery, enhance target identification, and improve clinical outcome predictions. Through real-world applications and case studies, readers gain practical insights into the benefits of computational approaches in managing data, optimizing leads, and predicting drug efficacy and safety. Emphasizing a multidisciplinary approach, it bridges chemistry, biology, and informatics, addressing both the technical and ethical dimensions of these innovations. This book is a roadmap to the future of medicine, revealing how computational advancements are reshaping the landscape of drug discovery.
    
      商品描述(中文翻譯)
《顛覆藥物發現:尖端計算技術》是一本針對製藥和生技產業的專業人士、研究人員及學生的重要指南,深入探討計算方法如何改變藥物開發。本書探討了分子建模、機器學習和人工智慧驅動設計等先進工具,這些工具加速了藥物發現、增強了靶點識別,並改善了臨床結果預測。透過實際應用和案例研究,讀者能夠獲得有關計算方法在數據管理、優化先導化合物及預測藥物效能和安全性方面的實用見解。本書強調多學科的整合,橋接化學、生物學和資訊學,並探討這些創新技術的技術和倫理層面。本書是通往醫學未來的藍圖,揭示了計算技術的進步如何重塑藥物發現的格局。