Suppr超能文献

结合生物物理筛选和X射线晶体学进行基于片段的药物发现。

Combining biophysical screening and X-ray crystallography for fragment-based drug discovery.

作者信息

Hennig Michael, Ruf Armin, Huber Walter

机构信息

F. Hoffmann-La Roche Ltd., Basel, Switzerland.

出版信息

Top Curr Chem. 2012;317:115-43. doi: 10.1007/128_2011_225.

Abstract

Over the past decade, fragment-based drug discovery (FBDD) has gained importance for the generation of novel ideas to inspire synthetic chemistry. In order to identify small molecules that bind to a target protein, multiple approaches have been utilized by various groups in the pharmaceutical industry and by academic groups. The combination of fragment screening by biophysical methods and in particular with surface plasmon resonance technologies (SPR) together with the visualization of the binding properties by X-ray crystallography offers a number of benefits. Screening by SPR identifies ligands for a target protein as well as provides an assessment of the binding properties with respect to affinity, stoichiometry, and specificity of the interaction. Despite the huge technology advances of the past years, X-ray crystallography is still a resource-intensive technology, and SPR binding data provides excellent measures to prioritize X-ray experiments and consequently enable a better success rate in obtaining structural information. Information on the chemical structures of fragments binding to a protein can be used to perform similarity searches in compound libraries in order to establish structure-activity relationships as well as to explore particular scaffolds. At Roche we have applied this workflow for a number of targets and the experiences will be outlined in this review.

摘要

在过去十年中,基于片段的药物发现(FBDD)对于产生激发合成化学的新想法变得越发重要。为了识别与目标蛋白结合的小分子,制药行业的各个团队以及学术团队采用了多种方法。通过生物物理方法进行片段筛选,特别是结合表面等离子体共振技术(SPR),并通过X射线晶体学对结合特性进行可视化,具有诸多优势。通过SPR筛选可以识别目标蛋白的配体,并评估相互作用在亲和力、化学计量比和特异性方面的结合特性。尽管在过去几年技术取得了巨大进步,但X射线晶体学仍然是一种资源密集型技术,而SPR结合数据为确定X射线实验的优先级提供了很好的依据,从而提高获得结构信息的成功率。与蛋白质结合的片段的化学结构信息可用于在化合物库中进行相似性搜索,以建立构效关系并探索特定的骨架结构。在罗氏公司,我们已将此工作流程应用于多个靶点,本综述将概述相关经验。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验