利用模型膜绘制抗真菌蛋白 NFAP2 的脂质结合区图谱

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Olivér Pavela, Tünde Juhász*, Liliána Tóth, András Czajlik, Gyula Batta, László Galgóczy* and Tamás Beke-Somfai*, 
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引用次数: 0

摘要

真菌感染的死亡率很高,对健康的威胁日益增大。Neosartorya (Aspergillus) fischeri 抗真菌蛋白 2(NFAP2)是一种富含半胱氨酸的阳离子小蛋白,具有很强的抗念珠菌活性。已证实孔隙形成是其基本机制,但缺乏其膜破坏作用的分子水平细节。在此,我们采用计算与实验相结合的方法,研究了具有不同表面电荷特性的简单脂质成分与 NFAP2 的脂质结合。模拟结果显示,NFAP2 与带负电荷的模型膜有结合偏好,选择性由富集在蛋白质结合位点的阴离子脂质成分介导,但也得到了齐聚物脂质的帮助。通过各种锚定接触,观察到了几种潜在的结合途径,从而形成了一种主要的结合模式和几种变体,NFAP2 驻留在膜表面。该蛋白柔性 N 端部分的 10NCPNNCKHKKG20 区域显示出插入脂质双分子层的效力,其中二硫键稳定的短基序 11CPNNC15 可在其中发挥关键作用。此外,包括 N 端起始部分(残基 1-8)在内的几个区域在促进最初的膜接触方面也发挥了作用。此外,模拟还揭示了 Lys24、Lys32、Lys34 和 Trp42 等残基的个别作用。综合数据表明,在与膜相互作用时,溶液构象并没有受到明显的干扰,而且蛋白质的折叠部分也有助于稳定结合状态。数据还突出表明,NFAP2 与脂质囊泡的结合会受到离子强度等环境因素的敏感影响。阴离子脂质驱动的静电相互作用被认为是关键因素,这解释了在高盐条件下观察到的膜活性降低的原因。实验数据支持脂质选择性结合机制,并指出了盐依赖效应,特别是低离子强度下蛋白质辅助的囊泡聚集。我们的研究结果有助于开发基于 NFAP2 的抗念珠菌药物,以及研究基于肽的天然抗真菌化合物在未来的医学用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mapping of the Lipid-Binding Regions of the Antifungal Protein NFAP2 by Exploiting Model Membranes

Mapping of the Lipid-Binding Regions of the Antifungal Protein NFAP2 by Exploiting Model Membranes

Fungal infections with high mortality rates represent an increasing health risk. The Neosartorya (Aspergillus) fischeri antifungal protein 2 (NFAP2) is a small, cysteine-rich, cationic protein exhibiting potent anti-Candida activity. As the underlying mechanism, pore formation has been demonstrated; however, molecular level details on its membrane disruption action are lacking. Herein, we addressed the lipid binding of NFAP2 using a combined computational and experimental approach to simple lipid compositions with various surface charge properties. Simulation results revealed binding preferences for negatively charged model membranes, where selectivity is mediated by anionic lipid components enriched at the protein binding site but also assisted by zwitterionic lipid species. Several potential binding routes initiated by various anchoring contacts were observed, which resulted in one main binding mode and a few variants, with NFAP2 residing on the membrane surface. Region 10NCPNNCKHKKG20 of the flexible N-terminal part of the protein showed potency to insert into the lipid bilayer, where the disulfide bond-stabilized short motif 11CPNNC15 could play a key role. In addition, several areas, including the beginning of the N-terminal (residues 1–8), played roles in facilitating initial membrane contacts. Besides, individual roles of residues such as Lys24, Lys32, Lys34, and Trp42 were also revealed by the simulations. Combined data demonstrated that the solution conformation was not perturbed markedly upon membrane interaction, and the folded part of the protein also contributed to stabilizing the bound state. Data also highlighted that the binding of NFAP2 to lipid vesicles is sensitively affected by environmental factors such as ionic strength. Electrostatic interactions driven by anionic lipids were found pivotal, explaining the reduced membrane activity observed under high salt conditions. Experimental data supported the lipid-selective binding mechanisms and pointed to salt-dependent effects, particularly to protein-assisted vesicle aggregation at low ionic strength. Our findings can contribute to the development of NFAP2-based anti-Candida agents and studies aiming at future medical use of peptide-based natural antifungal compounds.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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