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靶向 S100B 肽的固有聚集倾向序列片段。

Targeting S100B with Peptides Encoding Intrinsic Aggregation-Prone Sequence Segments.

机构信息

Biosystems and Integrative Sciences Institute, Faculdade de Ciências, Universidade Lisboa, 1749-016 Lisbon, Portugal.

Departamento de Química e Bioquímica, Faculdade de Ciências, Universidade Lisboa, 1749-016 Lisbon, Portugal.

出版信息

Molecules. 2021 Jan 15;26(2):440. doi: 10.3390/molecules26020440.

Abstract

S100 proteins assume a diversity of oligomeric states including large order self-assemblies, with an impact on protein structure and function. Previous work has uncovered that S100 proteins, including S100B, are prone to undergo β-aggregation under destabilizing conditions. This propensity is encoded in aggregation-prone regions (APR) mainly located in segments at the homodimer interface, and which are therefore mostly shielded from the solvent and from deleterious interactions, under native conditions. As in other systems, this characteristic may be used to develop peptides with pharmacological potential that selectively induce the aggregation of S100B through homotypic interactions with its APRs, resulting in functional inhibition through a loss of function. Here we report initial studies towards this goal. We applied the TANGO algorithm to identify specific APR segments in S100B helix IV and used this information to design and synthesize S100B-derived APR peptides. We then combined fluorescence spectroscopy, transmission electron microscopy, biolayer interferometry, and aggregation kinetics and determined that the synthetic peptides have strong aggregation propensity, interact with S100B, and may promote co-aggregation reactions. In this framework, we discuss the considerable potential of such APR-derived peptides to act pharmacologically over S100B in numerous physiological and pathological conditions, for instance as modifiers of the S100B interactome or as promoters of S100B inactivation by selective aggregation.

摘要

S100 蛋白呈现出多种寡聚状态,包括大的有序自组装,这对蛋白质结构和功能有影响。先前的工作已经揭示,包括 S100B 在内的 S100 蛋白在不稳定条件下容易发生β-聚集。这种倾向编码在聚集倾向区域 (APR) 中,主要位于同源二聚体界面的片段中,因此在天然条件下,这些区域主要受到溶剂和有害相互作用的屏蔽。与其他系统一样,这种特性可用于开发具有药理学潜力的肽,这些肽通过与 APR 进行同型相互作用选择性诱导 S100B 的聚集,从而通过功能丧失导致功能抑制。本文报告了实现这一目标的初步研究。我们应用 TANGO 算法来识别 S100B 螺旋 IV 中的特定 APR 片段,并利用这些信息设计和合成 S100B 衍生的 APR 肽。然后,我们结合荧光光谱、透射电子显微镜、生物层干涉测量和聚集动力学,确定合成肽具有很强的聚集倾向,与 S100B 相互作用,并可能促进共聚集反应。在这个框架内,我们讨论了这种 APR 衍生肽在许多生理和病理条件下对 S100B 进行药理学作用的巨大潜力,例如作为 S100B 相互作用组的调节剂或作为通过选择性聚集促进 S100B 失活的促进剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f933/7830867/7e0a10cc4c7b/molecules-26-00440-g001.jpg

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