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靶向蛋白质-蛋白质界面的肽:化学组合肽文库方法的贡献。

Targeting Protein-Protein Interfaces with Peptides: The Contribution of Chemical Combinatorial Peptide Library Approaches.

机构信息

Institute of Biostructures and Bioimaging (IBB), National Research Council (CNR), 80131 Napoli, Italy.

Institute of Crystallography (IC), National Research Council (CNR), Strada Statale 14 km 163.5, Basovizza, 34149 Triese, Italy.

出版信息

Int J Mol Sci. 2023 Apr 25;24(9):7842. doi: 10.3390/ijms24097842.

Abstract

Protein-protein interfaces play fundamental roles in the molecular mechanisms underlying pathophysiological pathways and are important targets for the design of compounds of therapeutic interest. However, the identification of binding sites on protein surfaces and the development of modulators of protein-protein interactions still represent a major challenge due to their highly dynamic and extensive interfacial areas. Over the years, multiple strategies including structural, computational, and combinatorial approaches have been developed to characterize PPI and to date, several successful examples of small molecules, antibodies, peptides, and aptamers able to modulate these interfaces have been determined. Notably, peptides are a particularly useful tool for inhibiting PPIs due to their exquisite potency, specificity, and selectivity. Here, after an overview of PPIs and of the commonly used approaches to identify and characterize them, we describe and evaluate the impact of chemical peptide libraries in medicinal chemistry with a special focus on the results achieved through recent applications of this methodology. Finally, we also discuss the role that this methodology can have in the framework of the opportunities, and challenges that the application of new predictive approaches based on artificial intelligence is generating in structural biology.

摘要

蛋白质-蛋白质界面在生理病理途径的分子机制中起着基础性的作用,是设计具有治疗意义的化合物的重要靶点。然而,由于其高度动态和广泛的界面区域,蛋白质表面结合位点的鉴定和蛋白质-蛋白质相互作用调节剂的开发仍然是一个重大挑战。多年来,已经开发出了多种策略,包括结构、计算和组合方法,用于表征 PPI,迄今为止,已经确定了几种能够调节这些界面的小分子、抗体、肽和适体的成功例子。值得注意的是,由于肽具有极高的效力、特异性和选择性,因此是抑制 PPI 的特别有用的工具。在这里,在概述 PPI 以及常用的识别和表征它们的方法之后,我们描述和评估了化学肽文库在药物化学中的作用,特别关注通过这种方法的最新应用所取得的结果。最后,我们还讨论了在基于人工智能的新预测方法的应用带来的机会和挑战的框架内,这种方法所具有的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e63/10178479/5444aac0d666/ijms-24-07842-g001.jpg

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