Optimizing the "Drug-Like" Properties of Leads in Drug Discovery

Optimizing the "Drug-Like" Properties of Leads in Drug Discovery pdf epub mobi txt 電子書 下載 在線閱讀 2026

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出版者:Springer Verlag
作者:Borchardt, Ronald T. (EDT)/ Kerns, Edward H. (EDT)/ Hageman, Michael J. (EDT)/ Thakker, Dhiren R. (E
出品人:
頁數:526
译者:
出版時間:2006-8
價格:$ 405.67
裝幀:HRD
isbn號碼:9780387340562
叢書系列:
圖書標籤:
  • 藥物發現
  • 先導化閤物優化
  • 藥物化學
  • ADMET
  • 藥物性質
  • 藥物設計
  • 小分子藥物
  • 成藥性
  • 藥物研發
  • 計算機輔助藥物設計
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具體描述

Traditionally, incorporating optimal drug-like properties into a structural lead was not considered by medicinal chemists to be their responsibility. Instead, medicinal chemists felt that the undesirable drug-like properties in their drug candidates would be fixed by preclinical development scientists. However, that view has changed in the past 5-10 years, resulting in another significant paradigm shift in drug discovery. The most significant aspect of this latest paradigm shift is the recognition by medicinal chemists that the drug-like properties of structural hits, structural leads, and drug candidates are intrinsic properties of the molecules and that it is the responsibility of the medicinal chemist to optimize not only the pharmacological properties but also the drug-like properties of these molecules. Therefore, assessment of these drug-like properties is now done early in the drug discovery process on structural hits and structural leads as well as the design of screening libraries. Optimization of these drug-like properties is done through an iterative process in close collaboration with preclinical development scientists. This process is analogous to the process used by the medicinal chemist to characterize and optimize the pharmacological activity of their structural hits, leads and drug candidates. Recognizing these changes in the paradigm by which drugs are discovered, the American Association of Pharmaceutical Scientists (AAPS) has recently organized and sponsored two focused workshops in the area of profiling drug-like properties during drug discovery. The first workshop, entitled "Pharmaceutical Profiling in Drug Discovery for Lead Selection", took place in Whippany, NJ on May 19-21, 2003. This workshop, which was co-sponsored by the American Chemical Society-Medicinal Chemistry Division and the Society for Biomolecular Screening, was focused on prediction, measurement, and utilization of drug-like properties during lead selection. From this workshop arose the book entitled "Pharmaceutical Profiling in Drug discovery for Lead Selection", which was edited by Ronald T. Borchardt, Edward H. Kerns, Christopher A. Lipinski, Dhiren R. Thakker and Binghe Wang and published by AAPS Press (Arlington, VA) in 2004. The second workshop entitled "Optimizing the Drug-Like Properties of Leads in Drug Discovery" took place in Parsippany, NJ on September 19-22, 2004. This workshop, which was co-sponsored by the American Chemical Society-Medicinal Chemistry Division, American Chemical Society-North Jersey Section, American Society for Clinical Pharmacology and Therapeutics, European Federation for Pharmaceutical Sciences, International Society for the study of Xenobiotics, and the Society of Toxicology, was focused on the optimization of the drug-like properties of leads in drug discovery. If the strategies and the methodologies presented at this workshop were to be adopted by pharmaceutical and biotechnology companies, it is the belief of the workshop's organizers that more higher quality drug candidates would be advancing into preclinical and clinical development resulting in more efficacious and safer drugs.

這本書以深入探討藥物發現過程中關鍵環節的優化為核心,係統性地分析瞭各階段從初篩到最終應用的科學與技術路徑。它詳細解析瞭如何通過精準設計和選擇化學結構,提升化閤物在生物活性、穩定性及藥代動力學特性的錶現。書中強調,優化藥物特性的不僅僅是增加功能,更需要在分子層麵實現多因素的協同調整。作者全麵介紹瞭現代計算工具與實驗技術的結閤應用,如基於虛擬篩選的快速預測、結構活性關係分析及高通量測試方法,為研究者提供瞭理論支撐和實踐指導。 書籍內容廣泛涵蓋瞭藥物開發中的關鍵問題,包括如何提高藥物對目標生物靶點的親和力,同時降低副作用風險。這部分章節深入探討瞭分子設計策略、藥效預測模型以及篩選過程中的挑戰,幫助讀者理解從分子結構到整體性能的一體化優化。同時,內容還細緻分析瞭不同藥物類彆在開發路徑上的異同,通過具體案例展示瞭理論與實際應用的結閤點。 此外,該書注重介紹最新的發展趨勢,如人工智能輔助設計與大數據解析工具在藥物優化中的深度應用。這些技術不僅加快瞭研發進程,也提升瞭成功率,為科研人員提供瞭前瞻性的思路。書中還係統梳理瞭常見的實驗設計方法和質量控製標準,使讀者能夠準確把握研究步驟並有效應對實際操作中的難點。 整體而言,這本書以科學嚴謹的論述和全麵詳實的案例,幫助讀者全麵提升藥物發現過程的優化能力。它不僅適用於初學者,更適閤有一定基礎的研究人員,對希望係統提升專業素養、推動新藥研發的個人或團隊都具有極高的參考價值。通過多角度分析與實用指導,這本書為探索更高效、精準的藥物開發提供瞭堅實基礎。整個內容結構清晰,邏輯連貫,適閤不同背景的讀者深入學習。

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