Brownian dynamics simulations of Lennard-Jones gas/liquid phase separation and its relevance to gel formation

1997 ◽  
Vol 93 (3) ◽  
pp. 437-448 ◽  
Author(s):  
J. Felicity M. Lodge ◽  
David M. Heyes
PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0245405
Author(s):  
Emiko Zumbro ◽  
Alfredo Alexander-Katz

Multivalent polymers are a key structural component of many biocondensates. When interacting with their cognate binding proteins, multivalent polymers such as RNA and modular proteins have been shown to influence the liquid-liquid phase separation (LLPS) boundary to both control condensate formation and to influence condensate dynamics after phase separation. Much is still unknown about the function and formation of these condensed droplets, but changes in their dynamics or phase separation are associated with neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s Disease. Therefore, investigation into how the structure of multivalent polymers relates to changes in biocondensate formation and maturation is essential to understanding and treating these diseases. Here, we use a coarse-grain, Brownian Dynamics simulation with reactive binding that mimics specific interactions in order to investigate the difference between non-specific and specific multivalent binding polymers. We show that non-specific binding interactions can lead to much larger changes in droplet formation at lower protein-polymer interaction energies than their specific, valence-limited counterparts. We also demonstrate the effects of solvent conditions and polymer length on phase separation, and we present how modulating binding energy to the polymer can change the organization of a droplet in a three component system of polymer, binding protein, and solvent. Finally, we compare the effects of surface tension and polymer binding on the condensed phase dynamics, and show that both lower protein solubilities and higher attraction/affinity of the protein to the polymer result in slower droplet dynamics. This research will help to better understand experimental systems and provides additional insight into how multivalent polymers can control LLPS.


Soft Matter ◽  
2015 ◽  
Vol 11 (21) ◽  
pp. 4158-4166 ◽  
Author(s):  
Vasileios Prymidis ◽  
Harmen Sielcken ◽  
Laura Filion

We study the self-assembly of a system of self-propelled, Lennard-Jones particles using Brownian dynamics simulations.


2020 ◽  
Author(s):  
Emiko Zumbro ◽  
Alfredo Alexander-Katz

AbstractMultivalent polymers are a key structural component of many biocondensates. When interacting with their cognate binding proteins, multivalent polymers such as RNA and modular proteins have been shown to influence the liquid-liquid phase separation (LLPS) boundary to control condensate formation and to influence condensate dynamics after phase separation. Much is still unknown about the function and formation of these condensed droplets, but changes in their dynamics or phase separation are associated with neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s Disease. Therefore, investigation into how the structure of multivalent polymers relates to changes in biocondensate formation and maturation is essential to understanding and treating these diseases. Here, we use a coarse-grain, Brownian Dynamics simulation with reactive binding that mimics specific interactions in order to investigate the difference between non-specific and specific multivalent binding polymers. We show that non-specific binding interactions can lead to much larger changes in droplet formation at lower energies than their specific, valence-limited counterparts. We also demonstrate the effects of solvent conditions and polymer length on phase separation, and we present how modulating binding energy to the polymer can change the organization of a droplet in a three component system of polymer, binding protein, and solvent. Finally, we compare the effects of surface tension and polymer binding on the condensed phase dynamics, where we show that both lower protein solubilities and higher attraction/affinity of the protein to the polymer result in slower droplet dynamics. We hope this research helps to better understand experimental systems and provides additional insight into how multivalent polymers can control LLPS.


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