Talk (non-conference) (Invited)

FZJ-2023-01516

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Quasi-two-dimensional protein dispersions:From monolayers with competing interactions to a protein-membrane-cytosol model of neuronal signal transduction

Tan, Z. (Corresponding author)FZJ*

2023

Abstract: I first discuss the phase behavior, hexagonal clustering, and resultant intermediate-range structure order (IRO) of quasi-two-dimensional (Q2D) protein dispersions with competing short-range attractive (SA) and long-range repulsive (LR) interactions. Later on, in such Q2D-SALR systems, using Langevin dynamics and multiparticle collision dynamics (MPC), I address the questions regarding self- and collective diffusion, non-Gaussian dynamics, and (time-dependent) hydrodynamic interactions (HIs). At last, I present our modeling work on the lateral diffusion of membrane receptor proteins. From a top-down approach, we build a mesoscopic protein-membrane-cytosol model by extending MPC algorithm to layered binary fluids with viscosity contrast. In addition, lipid crowding effects are included to capture the viscoelasticity nature of biological membranes. This model is applied to study the diffusion of a G-protein coupled receptor protein with a dumbbell shape.

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Contributing Institute(s):

1. Computational Biomedicine (IAS-5)
2. Computational Biomedicine (INM-9)

Research Program(s):

1. 5241 - Molecular Information Processing in Cellular Systems (POF4-524) (POF4-524)

Appears in the scientific report 2023

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