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利用剑桥结构数据库表征非共价相互作用。

Characterising non-covalent interactions with the Cambridge Structural Database.

作者信息

Lommerse J P, Taylor R

机构信息

Cambridge Crystallographic Data Centre, UK.

出版信息

J Enzyme Inhib. 1997 Feb;11(4):223-43. doi: 10.3109/14756369709027653.

Abstract

This review describes how the CSD can be used to study non-covalent interactions. Several different types of information may be obtained. First, the relative frequencies of various interactions can be studied; for example, we have shown that the terminal oxygen atoms of phosphate groups accept hydrogen bonds far more often than the linkage oxygens. Secondly, information can be obtained about the geometries of nonbonded contacts; for example, hydrogen bonds to P-O groups rarely form along the extension of the P-O bond, whereas short contacts between oxygen and carbon-bound iodine show a strong preference for linear C-I ... O angles. Thirdly, the CSD can be searched for novel interactions which may be exploited in inhibitor design; for example, the I ... O contacts just mentioned, and N-H ... pi hydrogen bonds. Finally, the CSD can suggest synthetic targets for medicinal chemistry; for example, molecules containing delocalised electron deficient groups such as trimethylammonium, pyridinium, thaizolium and dinitrophenyl have a good chance of binding to an active-site tryptophan. Although the CSD contains small-molecule crystal structures, not protein-ligand complexes, there is considerable evidence that the contacts seen in the two types of structures are similar. We have illustrated this a number of times in the present review and additional evidence has been given previously by Klebe. The major advantages of the CSD are its size, diversity and experimental accuracy. For these reasons, it is a useful tool for modellers engaged in rational inhibitor design.

摘要

本综述描述了如何利用剑桥晶体结构数据库(CSD)来研究非共价相互作用。可以获得几种不同类型的信息。首先,可以研究各种相互作用的相对频率;例如,我们已经表明,磷酸基团的末端氧原子比连接氧原子接受氢键的频率要高得多。其次,可以获得有关非键接触几何结构的信息;例如,与P-O基团形成的氢键很少沿着P-O键的延伸方向形成,而氧与碳结合碘之间的短接触则强烈倾向于线性C-I...O角。第三,可以在CSD中搜索可用于抑制剂设计的新型相互作用;例如,刚刚提到的I...O接触以及N-H...π氢键。最后,CSD可以为药物化学提供合成靶点;例如,含有离域缺电子基团(如三甲铵、吡啶鎓、噻唑鎓和二硝基苯基)的分子很有可能与活性位点色氨酸结合。尽管CSD包含的是小分子晶体结构,而非蛋白质-配体复合物,但有大量证据表明这两种结构中观察到的接触是相似的。在本综述中我们已经多次说明这一点,并且Klebe之前也给出了额外的证据。CSD的主要优点在于其规模、多样性和实验准确性。出于这些原因,它对于从事合理抑制剂设计的建模人员来说是一个有用的工具。

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