只带正电荷的多肽纳米颗粒的有序组装

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yi Shi, Tianren Zhang, Rui Guo, Zihan Zhang, Amanda L. McCahill, Yao Tang, Sabrina E. Liskey, Dai-Bei Yang, Christopher J. Kloxin, Jeffery G. Saven, Darrin J. Pochan
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引用次数: 0

摘要

不同电荷类型的表面电荷斑块会影响胶体粒子和球状蛋白质的溶液行为。在此,我们通过计算设计了只显示单一表面电荷类型(SC)的卷绕 "束合 "纳米粒子,并将其溶液行为与带正负电荷侧链的混合电荷类型(MC)粒子进行了比较。在低浓度 SC 粒子中发现了线状和柱状液晶相,这表明粒子端对端堆积成柱状,柱状之间存在横向静电排斥力,而具有相同净电荷和粒子形状的 MC 粒子只产生无定形的可溶性聚集体。同样,电荷相反的 SC/MC 粒子混合物会形成多孔晶格,而电荷相反的 MC/MC 混合物只会产生无定形的聚集体。晶格结构是通过机器学习优化方法推断出来的。SC和MC粒子行为的差异直接表明了表面静电斑点的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ordered assemblies of peptide nanoparticles with only positive charge

Ordered assemblies of peptide nanoparticles with only positive charge

Surface charge patchiness of different charge types can influence the solution behaviours of colloidal particles and globular proteins. Herein, coiled-coil ‘bundlemer’ nanoparticles that display only a single type of surface charge (SC) are computationally designed to compare their solution behaviours to mixed charge-type (MC) counterparts with both positively and negatively charged side chains. Nematic and columnar liquid crystal phases are discovered in low concentrations of SC particles, indicative of particle end-to-end stacking into columns combined with lateral electrostatic repulsion between columns, while MC particles with the same net charge and particle shape produced only amorphous, soluble aggregates. Similarly, porous lattices are formed in mixtures of SC/MC particles of opposite charges while MC/MC mixtures of opposite charges produce only amorphous aggregates. The lattice structure is inferred with a machine learning optimization approach. The differences between SC and MC particle behaviours directly show the importance of surface electrostatic patchiness.

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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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