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

Optimizing the "Drug-Like" Properties of Leads in Drug Discovery pdf epub mobi txt 电子书 下载 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: 页数:526 译者: 出版时间:2006-8 价格:$ 405.67 装帧:HRD isbn号码:9780387340562 丛书系列:
图书标签
  • 药物发现
  • 先导化合物优化
  • 药物化学
  • ADMET
  • 药物性质
  • 药物设计
  • 小分子药物
  • 成药性
  • 药物研发
  • 计算机辅助药物设计
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具体描述

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.

这本书以深入探讨药物发现过程中关键环节的优化为核心,系统性地分析了各阶段从初筛到最终应用的科学与技术路径。它详细解析了如何通过精准设计和选择化学结构,提升化合物在生物活性、稳定性及药代动力学特性的表现。书中强调,优化药物特性的不仅仅是增加功能,更需要在分子层面实现多因素的协同调整。作者全面介绍了现代计算工具与实验技术的结合应用,如基于虚拟筛选的快速预测、结构活性关系分析及高通量测试方法,为研究者提供了理论支撑和实践指导。 书籍内容广泛涵盖了药物开发中的关键问题,包括如何提高药物对目标生物靶点的亲和力,同时降低副作用风险。这部分章节深入探讨了分子设计策略、药效预测模型以及筛选过程中的挑战,帮助读者理解从分子结构到整体性能的一体化优化。同时,内容还细致分析了不同药物类别在开发路径上的异同,通过具体案例展示了理论与实际应用的结合点。 此外,该书注重介绍最新的发展趋势,如人工智能辅助设计与大数据解析工具在药物优化中的深度应用。这些技术不仅加快了研发进程,也提升了成功率,为科研人员提供了前瞻性的思路。书中还系统梳理了常见的实验设计方法和质量控制标准,使读者能够准确把握研究步骤并有效应对实际操作中的难点。 整体而言,这本书以科学严谨的论述和全面详实的案例,帮助读者全面提升药物发现过程的优化能力。它不仅适用于初学者,更适合有一定基础的研究人员,对希望系统提升专业素养、推动新药研发的个人或团队都具有极高的参考价值。通过多角度分析与实用指导,这本书为探索更高效、精准的药物开发提供了坚实基础。整个内容结构清晰,逻辑连贯,适合不同背景的读者深入学习。

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