Home > Publications database > Quasi-two-dimensional protein dispersions:From monolayers with competing interactions to a protein-membrane-cytosol model of neuronal signal transduction > print |
001 | 1005516 | ||
005 | 20230403201807.0 | ||
037 | _ | _ | |a FZJ-2023-01516 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Tan, Zihan |0 P:(DE-Juel1)165875 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a Vortrag im Seminar Statistische Physik weicher Materie und biologischer Systeme |c Berlin |d 2023-03-17 - 2023-03-17 |w Germany |
245 | _ | _ | |a Quasi-two-dimensional protein dispersions:From monolayers with competing interactions to a protein-membrane-cytosol model of neuronal signal transduction |f 2023-03-17 - |
260 | _ | _ | |c 2023 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
336 | 7 | _ | |a Talk (non-conference) |b talk |m talk |0 PUB:(DE-HGF)31 |s 1680526627_32182 |2 PUB:(DE-HGF) |x Invited |
336 | 7 | _ | |a Other |2 DINI |
502 | _ | _ | |c TU Berlin |
520 | _ | _ | |a 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. |
536 | _ | _ | |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524) |0 G:(DE-HGF)POF4-5241 |c POF4-524 |f POF IV |x 0 |
909 | C | O | |o oai:juser.fz-juelich.de:1005516 |p VDB |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)165875 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-524 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Molecular and Cellular Information Processing |9 G:(DE-HGF)POF4-5241 |x 0 |
914 | 1 | _ | |y 2023 |
920 | _ | _ | |l yes |
920 | 1 | _ | |0 I:(DE-Juel1)IAS-5-20120330 |k IAS-5 |l Computational Biomedicine |x 0 |
920 | 1 | _ | |0 I:(DE-Juel1)INM-9-20140121 |k INM-9 |l Computational Biomedicine |x 1 |
980 | _ | _ | |a talk |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)IAS-5-20120330 |
980 | _ | _ | |a I:(DE-Juel1)INM-9-20140121 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|