Suppr超能文献

聚合物类药物干扰蛋白-蛋白相互作用:路在何方?

Polymers for Disrupting Protein-Protein Interactions: Where Are We and Where Should We Be?

机构信息

Department of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.

Center for Bioactive Delivery, Institute for Applied Life Sciences, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.

出版信息

Biomacromolecules. 2024 Oct 14;25(10):6229-6249. doi: 10.1021/acs.biomac.4c00850. Epub 2024 Sep 10.

Abstract

Protein-protein interactions (PPIs) are central to the cellular signaling and regulatory networks that underlie many physiological and pathophysiological processes. It is challenging to target PPIs using traditional small molecule or peptide-based approaches due to the frequent lack of well-defined binding pockets at the large and flat PPI interfaces. Synthetic polymers offer an opportunity to circumvent these challenges by providing unparalleled flexibility in tuning their physiochemical properties to achieve the desired binding properties. In this review, we summarize the current state of the field pertaining to polymer-protein interactions in solution, highlighting various polyelectrolyte systems, their tunable parameters, and their characterization. We provide an outlook on how these architectures can be improved by incorporating sequence control, foldability, and machine learning to mimic proteins at every structural level. Advances in these directions will enable the design of more specific protein-binding polymers and provide an effective strategy for targeting dynamic proteins, such as intrinsically disordered proteins.

摘要

蛋白质-蛋白质相互作用 (PPIs) 是细胞信号转导和调控网络的核心,这些网络是许多生理和病理生理过程的基础。由于在大而平坦的 PPI 界面上经常缺乏明确定义的结合口袋,因此使用传统的小分子或肽基方法来靶向 PPI 具有挑战性。合成聚合物通过提供在调整其物理化学性质以实现所需结合特性方面无与伦比的灵活性,为克服这些挑战提供了机会。在这篇综述中,我们总结了有关溶液中聚合物-蛋白质相互作用的当前领域状态,重点介绍了各种聚电解质系统、它们的可调参数及其表征。我们展望了如何通过结合序列控制、折叠性和机器学习来在每个结构水平上模拟蛋白质,从而改进这些结构。这些方向的进展将能够设计更具特异性的蛋白质结合聚合物,并为靶向动态蛋白质(如天然无序蛋白质)提供有效的策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验