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KLIFS: A Knowledge-Based Structural Database To Navigate Kinase- Ligand Interaction Space

机译:KLIFS:基于知识的结构数据库,可导航激酶-配体相互作用空间

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摘要

Protein kinases regulate the majority of signal transduction pathways in cells and have become important targets for the development of designer drugs. We present a systematic analysis of kinase-ligand interactions in all regions of the catalytic cleft of all 1252 human kinase-ligand cocrystal structures present in the Protein Data Bank (PDB). The kinase-ligand interaction fingerprints and structure database (KLIFS) contains a consistent alignment of 85 kinase ligand binding site residues that enables the identification of family specific interaction features and classification of ligands according to their binding modes. We illustrate how systematic mining of kinase-ligand interaction space gives new insights into how conserved and selective kinase interaction hot spots can accommodate the large diversity of chemical scaffolds in kinase ligands. These analyses lead to an improved understanding of the structural requirements of kinase binding that will be useful in ligand discovery and design studies.
机译:蛋白激酶调节细胞中大多数信号转导途径,并已成为设计药物开发的重要目标。我们目前在蛋白质数据库(PDB)中存在的所有1252人激酶-配体共晶体结构的催化裂隙的所有区域中的激酶-配体相互作用的系统分析。激酶-配体相互作用指纹和结构数据库(KLIFS)包含85个激酶配体结合位点残基的一致比对,这使得能够鉴定家族特异性相互作用特征并根据其结合方式对配体进行分类。我们说明了如何对激酶-配体相互作用空间进行系统的挖掘,从而提供有关保守和选择性激酶相互作用热点如何适应激酶配体中多种化学支架的新见解。这些分析使人们对激酶结合的结构要求有了更好的了解,这将有助于配体的发现和设计研究。

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