通过定向组装形成控制肽功能:基于抗菌肽-药物-膜系统多尺度建模的机理洞察

Controlling Peptide Function by Directed Assembly Formation: Mechanistic Insights Using Multiscale Modeling on an Antimicrobial Peptide-Drug-Membrane System.

作者信息

Kohut Gergely, Juhász Tünde, Quemé-Peña Mayra, Bősze Szilvia Erika, Beke-Somfai Tamás

机构信息

Institute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, Magyar tudósok körútja 2, H-1117 Budapest, Hungary.

Hevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/A, H-1117 Budapest, Hungary.

出版信息

ACS Omega. 2021 Jun 11;6(24):15756-15769. doi: 10.1021/acsomega.1c01114. eCollection 2021 Jun 22.

Abstract

Owing to their potential applicability against multidrug-resistant bacteria, antimicrobial peptides (AMPs) or host defense peptides (HDPs) gain increased attention. Besides diverse immunomodulatory roles, their classical mechanism of action mostly involves membrane disruption of microbes. Notably, their unbalanced overexpression has also been associated with host cell cytotoxicity in various diseases. Relatedly, AMPs can be subject to aggregate formation, either via self-assembly or together with other compounds, which has demonstrated a modulation effect on their biological functions, thus highly relevant both for drug targeting projects and understanding their in vivo actions. However, the molecular aspects of the related assembly formation are not understood. Here, we focused in detail on an experimentally studied AMP-drug system, i.e., CM15-suramin, and performed all-atom and coarse-grain (CG) simulations. Results obtained for all systems were in close line with experimental observations and indicate that the CM15-suramin aggregation is an energetically favorable and dynamic process. In the presence of bilayers, the peptide-drug assembly formation was highly dependent on lipid composition, and peptide aggregates themselves were also capable of binding to the membranes. Interestingly, longer CG simulations with zwitterionic membranes indicated an intermediate state in the presence of both AMP-drug assemblies and monomeric peptides located on the membrane surface. In sharp contrast, larger AMP-drug aggregates could not be detected with a negatively charged membrane, rather the AMPs penetrated its surface in a monomeric form, in line with previous in vitro observations. Considering experimental and theoretical results, it is promoted that in biological systems, cationic AMPs may often form associates with anionic compounds in a reversible manner, resulting in lower bioactivity. This is only mildly affected by zwitterionic membranes; however, membranes with a negative charge strongly alter the energetic preference of AMP assemblies, resulting in the dissolution of the complexes into the membrane. The phenomenon observed here at a molecular level can be followed in several experimental systems studied recently, where peptides interact with food colors, drug molecules, or endogenous compounds, which strongly indicates that reversible associate formation is a general phenomenon for these complexes. These results are hoped to be exploited in novel therapeutic strategies aiming to use peptides as drug targets and control AMP bioactivity by directed assembly formation.

摘要

由于抗菌肽(AMPs)或宿主防御肽(HDPs)对多重耐药细菌具有潜在的适用性,因此受到了越来越多的关注。除了具有多种免疫调节作用外,它们的经典作用机制主要涉及微生物膜的破坏。值得注意的是,它们的不平衡过表达也与各种疾病中的宿主细胞毒性有关。相关地,AMPs可通过自组装或与其他化合物一起形成聚集体,这已证明对其生物学功能有调节作用,因此对药物靶向项目和理解其体内作用都高度相关。然而,相关组装形成的分子方面尚不清楚。在这里,我们详细研究了一个实验性的AMPs-药物系统,即CM15-苏拉明,并进行了全原子和粗粒度(CG)模拟。所有系统获得的结果与实验观察结果密切一致,表明CM15-苏拉明聚集体形成是一个能量有利且动态的过程。在双层膜存在的情况下,肽-药物组装形成高度依赖于脂质组成,并且肽聚集体本身也能够与膜结合。有趣的是,用两性离子膜进行的更长时间的CG模拟表明,在膜表面同时存在AMPs-药物组装体和单体肽的情况下存在一个中间状态。与之形成鲜明对比的是,在带负电荷的膜上未检测到较大的AMPs-药物聚集体,而是AMPs以单体形式穿透其表面,这与先前的体外观察结果一致。考虑到实验和理论结果,有人提出在生物系统中,阳离子AMPs可能经常以可逆的方式与阴离子化合物形成缔合物,从而导致生物活性降低。两性离子膜对此影响较小;然而,带负电荷的膜会强烈改变AMPs组装体的能量偏好,导致复合物溶解到膜中。最近在几个实验系统中研究了这里在分子水平上观察到的现象,其中肽与食用色素、药物分子或内源性化合物相互作用,这强烈表明可逆缔合物形成是这些复合物的普遍现象。希望这些结果能被用于新的治疗策略中,旨在将肽用作药物靶点,并通过定向组装形成来控制AMPs的生物活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df75/8223213/a30007d19ded/ao1c01114_0002.jpg

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