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首页> 外文期刊>Current medicinal chemistry >Specific noncovalent interactions at protein-ligand interface: Implications for rational drug design
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Specific noncovalent interactions at protein-ligand interface: Implications for rational drug design

机译:蛋白质-配体界面的特定非共价相互作用:对合理药物设计的启示

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摘要

Specific noncovalent interactions that are indicative of attractive, directional intermolecular forces have always been of key interest to medicinal chemists in their search for the "glue" that holds drugs and their targets together. With the rapid increase in the number of solved biomolecular structures as well as the performance enhancement of computer hardware and software in recent years, it is now possible to give more comprehensive insight into the geometrical characteristics and energetic landscape of certain sophisticated noncovalent interactions present at the binding interface of protein receptors and small ligands based on accumulated knowledge gaining from the combination of two quite disparate but complementary approaches: crystallographic data analysis and quantum-mechanical ab initio calculation. In this perspective, we survey massive body of published works relating to structural characterization and theoretical investigation of three kinds of strong, specific, direct, enthalpy-driven intermolecular forces, including hydrogen bond, halogen bond and salt bridge, involved in the formation of protein-ligand complex architecture in order to characterize their biological functions in conferring affinity and specificity for ligand recognition by host protein. In particular, the biomedical implications of raised knowledge are discussed with respect to potential applications in rational drug design.
机译:指示有吸引力的定向分子间力的特定非共价相互作用一直是药物化学家寻找将药物及其靶标结合在一起的“胶水”的主要兴趣所在。随着近年来已解决的生物分子结构数量的快速增加以及计算机硬件和软件的性能增强,现在有可能对存在于某些复杂非共价相互作用中的某些复杂非共价相互作用的几何特征和高能态势进行更全面的了解。蛋白质受体和小配体的结合界面基于从两种截然不同但互补的方法的组合中获得的累积知识:晶体学数据分析和量子力学从头算。从这个角度出发,我们调查了与结构表征有关的大量公开著作,并对涉及蛋白质形成的三种强,特异,直接,由焓驱动的分子间力(包括氢键,卤素键和盐桥)进行了理论研究。 -配体复杂的结构,以表征其生物学功能,赋予宿主蛋白配体识别亲和力和特异性。特别是,关于合理药物设计中的潜在应用,讨论了提高知识的生物医学意义。

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