论文标题

一个粗粒的模拟模型,用于具有明确移动粘合剂的液滴自组装

A Coarse-Grained Simulation Model for Self-Assembly of Liquid Droplets Featuring Explicit Mobile Binders

论文作者

Mitra, Gaurav, Chang, Chuan, McMullen, Angus, Puchall, Daniela, Brujic, Jasna, Hocky, Glen M.

论文摘要

具有移动结合分子的胶体颗粒构成了一个强大的平台,用于探测自组装物理。结合分子可以自由地在表面上扩散和重新排列,从而自发控制液滴 - 滴头键的数量,即价作为粘合剂浓度的函数。通过调整涂DNA涂层乳液液滴之间的相互作用强度,已经实现了这种类型的价控制。对价优化两个产量的液滴聚合物链,称为“胶体组”,最近已用于探测折叠的物理。为了了解潜在的自组装机制,我们提出了一种粗粒分子动力学(CGMD)模型,以使用移动结合位点的明确表示来研究此类系统的自组装。我们探讨如何通过强结合极限通过动力学控制来调整组装结构的价值。更具体地说,我们优化实验控制参数,以获得长线性胶体链的最高收率。随后,通过温度依赖性模型调整结合和解开的动力学,使我们能够观察到七聚体链塌陷到所有可能的刚性结构中,并且与最近的折叠实验一致。我们的CGMD平台和动态键合模型(以开源定制插件为HOOMD-Blue实现)揭示了控制结合贴片大小和价值控制的分子特征,并打开了胶体折叠中途径的研究。因此,该模型可以在实验中指导可编程设计。

Colloidal particles with mobile binding molecules constitute a powerful platform for probing the physics of self-assembly. Binding molecules are free to diffuse and rearrange on the surface, giving rise to spontaneous control over the number of droplet-droplet bonds, i.e., valence, as a function of the concentration of binders. This type of valence control has been realized experimentally by tuning the interaction strength between DNA-coated emulsion droplets. Optimizing for valence two yields droplet polymer chains, termed `colloidomers', which have recently been used to probe the physics of folding. To understand the underlying self-assembly mechanisms, here we present a coarse-grained molecular dynamics (CGMD) model to study the self-assembly of this class of systems using explicit representations of mobile binding sites. We explore how valence of assembled structures can be tuned through kinetic control in the strong binding limit. More specifically, we optimize experimental control parameters to obtain the highest yield of long linear colloidomer chains. Subsequently tuning the dynamics of binding and unbinding via a temperature-dependent model allows us to observe the heptamer chain collapse into all possible rigid structures, in good agreement with recent folding experiments. Our CGMD platform and dynamic bonding model (implemented as an open-source custom plugin to HOOMD-Blue) reveal the molecular features governing the binding patch size and valence control, and opens the study of pathways in colloidomer folding. This model can therefore guide programmable design in experiments.

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