靶向蛋白质-蛋白质相互作用的药物的结构基础揭示与蛋白质-配体相互作用谱仪PLIP。

IF 4.9 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Sarah Naomi Bolz, Philipp Schake, Celina Stitz, Michael Schroeder
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引用次数: 0

摘要

背景:药物和靶点的混杂性在药物靶点预测中起着重要作用,从副作用的解释到药物重新定位的利用。一种特殊形式的滥交与药物有关,它会干扰蛋白质之间的相互作用。随着这类药物在药物发现中的重要性日益提高,以及结构数据的大规模可用性,这种形式的混杂的结构基础以及潜在的蛋白质配体(PLI)和蛋白质-蛋白质相互作用(PPI)的共性出现了问题。研究设计和方法:作者应用蛋白-配体相互作用谱仪(PLIP)对靶向PPI的临床试验药物进行实验和预测结构和表征。结果:ppi通常比PLI涉及更多的非共价相互作用,具有重叠的相互作用模式和关键结合位点残基。与实验结构相比,预测结构在准确捕捉界面上的相互作用细节方面存在不足。结论:综上所述,我们的分析表明PPIs和PLIs具有足够的共性,值得未来的工作用于针对PPIs的药物的计算筛选。进一步改进结构预测,特别是结合位点细节将是关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The structural basis of drugs targeting protein-protein interactions uncovered with the protein-ligand interaction profiler PLIP.

Background: Promiscuity of drugs and targets plays an important role in drug-target prediction, ranging from the explanation of side effects to their exploitation in drug repositioning. A specific form of promiscuity concerns drugs, which interfere with protein-protein interactions. With the rising importance of such drugs in drug discovery and with the large-scale availability of structural data, the question arises on the structural basis of this form of promiscuity and the commonalities of the underlying protein-ligand (PLI) and protein-protein interactions (PPI).

Research design and methods: The authors applied the protein-ligand interaction profiler, PLIP, to experimental and predicted structures and characterize drugs in clinical trials, which target PPI.

Results: PPIs generally involve more non-covalent interactions than PLI with overlapping interaction patterns and key binding site residues. In contrast to experimental structures, predicted structures fall short in accurately capturing interaction details at the interface.

Conclusion: Taken together, our analysis shows that PPIs and PLIs have sufficient commonalities to merit future work into computational screenings for drugs targeting PPIs. It will be key to further improve structure prediction, specifically for binding site details.

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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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