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基于结构的药物设计中新蛋白质结晶策略的挑战与机遇。

Challenges and opportunities for new protein crystallization strategies in structure-based drug design.

机构信息

Purdue University, Department of Chemistry, West Lafayette, IN 47907, USA.

出版信息

Expert Opin Drug Discov. 2010 Nov;5(11):1039-45. doi: 10.1517/17460441.2010.515583.

Abstract

Structure-based drug design (SBDD) has emerged as a valuable pharmaceutical lead discovery tool, showing potential for accelerating the discovery process,while reducing developmental costs and boosting potencies of the drug that is ultimately selected. SBDD is an iterative, rational, lead compound sculpting process that involves both the synthesis of new derivatives and the evaluation of their binding to the target structure either through computational docking or elucidation of the target structure as a complex with the lead compound. This method heavily relies on the production of high resolution(< 2 Å) 3D structures of the drug target, obtained through X-ray crystallographic analysis, in the presence or absence of the drug candidate.The lack of generalized methods for high quality crystal production is still a major bottleneck in the process of macromolecular crystallization. This review provides a brief introduction to SBDD and describes several macromolecular crystallization strategies, with an emphasis on advances and challenges facing researchers in the field today. Recent trends in the development of more universal macromolecular crystallization techniques, particularly nucleation-based techniques that are applicable to both soluble and integral membrane proteins, are also discussed.

摘要

基于结构的药物设计(SBDD)已经成为一种有价值的药物先导发现工具,具有加速发现过程、降低开发成本和提高最终选择的药物效力的潜力。SBDD 是一个迭代的、理性的、先导化合物塑造过程,涉及新衍生物的合成和评估它们与靶标结构的结合,无论是通过计算对接还是阐明靶标结构与先导化合物的复合物。该方法严重依赖于通过 X 射线晶体学分析获得药物靶标的高分辨率(<2 Å)3D 结构,无论是在候选药物存在还是不存在的情况下。缺乏用于高质量晶体生产的通用方法仍然是大分子结晶过程中的主要瓶颈。本文简要介绍了 SBDD,并描述了几种大分子结晶策略,重点介绍了该领域研究人员目前面临的进展和挑战。还讨论了开发更通用的大分子结晶技术的最新趋势,特别是适用于可溶性和整膜蛋白的基于成核的技术。

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本文引用的文献

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Acoustic matrix microseeding: improving protein crystal growth with minimal chemical bias.声学基质微播种:以最小的化学偏差改善蛋白质晶体生长。
Acta Crystallogr D Biol Crystallogr. 2010 May;66(Pt 5):568-76. doi: 10.1107/S0907444910005512. Epub 2010 Apr 21.
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Structure-based virtual screening.基于结构的虚拟筛选
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MolDock applied to structure-based virtual screening.分子对接在基于结构的虚拟筛选中的应用。
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New directions in conventional methods of protein crystallization.常规蛋白质结晶方法的新方向。
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Membrane protein assembly into Nanodiscs.膜蛋白组装成纳米盘。
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