基于穷举式E-Cadherin域-域对接的血脑屏障调节肽的系统搜索。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Jinyan He,Teruna J Siahaan,Krzysztof Kuczera
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引用次数: 0

摘要

E-和ve -钙粘蛋白是形成细胞间连接的蛋白质之一,是生物屏障(即血脑屏障(BBB)和肠粘膜屏障)细胞间连接中细胞-细胞粘附的重要组成部分。血脑屏障阻止大的治疗分子从体循环输送到中枢神经系统。先前,从E-cadherin的细胞外1结构域(EC1结构域)鉴定的HAV和ADT肽成功地调节了血脑屏障的细胞间连接,从而改善了分子在体内和体外血脑屏障上的渗透。在这里,我们使用计算方法来执行一个更详尽和系统的搜索新的肽,可以有效地干扰e -钙粘蛋白相互作用,以增强血脑屏障的通透性。在第一阶段,采用计算蛋白-蛋白对接来探索人E-cadherin (EC12)的前两个细胞外结构域之间可能的相互作用。基于结合界面的预测模型,提出了115种不同的肽序列作为破坏血脑屏障细胞间连接中钙粘蛋白-钙粘蛋白相互作用的候选肽。接下来,将发现的肽重新连接到E-cadherin上,并分析肽-蛋白复合物的结合模式和亲和力。通过不同的蛋白-肽对接方法,我们确定了几个对EC12具有强结合亲和力的肽段,并将其选择用于未来的实验验证和进一步的序列优化。一个具有WVIPPIS序列的初始肽参与了结构域交换相互作用;合成了该肽段,并利用表面等离子体共振测试了其与重组EC1结构域的结合亲和力,得到的解离常数KD为239 nM,对应于25°C下的结合自由能为-9.07 kcal/mol。总的来说,我们的研究结果提出了一种系统的方法来产生具有高潜力的新型肽,以破坏血脑屏障,从而改善药物向大脑的输送。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Search for Blood-Brain Barrier Modulating Peptides Based on Exhaustive E-Cadherin Domain-Domain Docking.
E- and VE-cadherins are among proteins forming intercellular junctions that are a crucial component of cell-cell adhesion in the intercellular junctions of the biological barriers (i.e., blood-brain barrier (BBB) and intestinal mucosa barrier). The BBB prevents the delivery of large therapeutic molecules from the systemic circulation to the central nervous system. Previously, HAV and ADT peptides that were identified from the extracellular-1 domain (EC1 domain) of E-cadherin successfully modulated the BBB intercellular junctions to improve the permeation of molecules across the BBB both in vivo and in vitro. Here, we use computational methods to perform a more exhaustive and systematic search for novel peptides that can effectively interfere with E-cadherin interactions to enhance the permeability of the BBB. In the first stage, computational protein-protein docking was employed to explore possible interactions between the first two extracellular domains of human E-cadherin (EC12). Based on the predicted model of binding interfaces, 115 different peptide sequences were proposed as candidates for disrupting cadherin-cadherin interactions in the BBB intercellular junctions. Next, the discovered peptides were redocked to E-cadherin, and the binding modes and affinities of peptide-protein complexes were analyzed. Using different protein-peptide docking methods, several peptides were identified as exhibiting a strong binding affinity for EC12, which were selected for future experimental validation and further sequence optimization. One initial peptide with a sequence of WVIPPIS was involved in a domain-swapping interaction; this peptide was synthesized, and its binding affinity to the recombinant EC1 domain was tested with surface plasmon resonance, yielding a dissociation constant KD of 239 nM, corresponding to a binding free energy of -9.07 kcal/mol at 25 °C. Overall, our results present a systematic approach for generating novel peptides with high potential to disrupt the BBB for improving drug delivery to the brain.
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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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