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配体效率指数在有效药物发现中的应用。

Ligand efficiency indices for effective drug discovery.

机构信息

Center for Pharmaceutical Biotechnology, Molecular Biology Research Building, Room 3152, University of Illinois at Chicago, 900 So. Ashland St. m/c 870, Chicago, IL 60607-7173, USA; E-mail:

出版信息

Expert Opin Drug Discov. 2007 Apr;2(4):469-88. doi: 10.1517/17460441.2.4.469.

Abstract

Successful drug discovery requires the optimization of a large number of variables ranging from strictly physicochemical parameters such as molecular weight to more complex parameters related to toxicity and bioavailability. Presently, structure-based methodologies influence many aspects of the drug discovery process from lead discovery to the final preclinical characterization. However, critical biological issues along the path to the market have diminished the impact and power of this methodology. The physicochemical properties of the novel chemical entities designed and guided by structural methods have become the subject of intense scrutiny from lead discovery to drug candidate. The idea of ligand efficiency (binding energy/non-hydrogen atoms) has recently emerged as a useful guide to optimize fragment and lead selection in the discovery process. More generalized concepts of ligand efficiency, related to efficiency per dalton and per unit of polar surface area, have also been introduced and will be discussed in the broader context. Preliminary results and trends obtained using ligand efficiencies as guides are reviewed and their future application to guide drug discovery will be discussed, as well as their integration into the structure-based drug design methods to make them more effective and numerically robust.

摘要

成功的药物发现需要优化大量的变量,从严格的物理化学参数(如分子量)到与毒性和生物利用度相关的更复杂参数。目前,基于结构的方法学影响药物发现过程的许多方面,从先导化合物发现到最终的临床前特征描述。然而,在走向市场的过程中,一些关键的生物学问题削弱了这种方法的影响力和效力。由结构方法设计和指导的新型化学实体的物理化学性质已成为从先导化合物发现到候选药物的焦点。配体效率(结合能/非氢原子)的概念最近作为一种有用的指导原则,用于优化发现过程中的片段和先导化合物的选择。与每道尔顿和单位极性表面积相关的配体效率的更广义概念也已被引入,并将在更广泛的背景下进行讨论。本文综述了使用配体效率作为指导原则获得的初步结果和趋势,并讨论了它们在指导药物发现方面的未来应用,以及它们如何被整合到基于结构的药物设计方法中,以提高其有效性和数值稳健性。

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