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@INPROCEEDINGS{Tan:902785,
      author       = {Tan, Zihan and Calandrini, Vania and Dhont, Jan K.G. and
                      Winkler, Roland G. and Naegele, Gerhard},
      title        = {{M}esoscopic modeling of postsynaptic {S}ignal
                      {T}ransduction},
      reportid     = {FZJ-2021-04556},
      year         = {2021},
      note         = {References:[1] D. Hilger, M. Masureel, and B. K. Kobilka,
                      Nat. Struct. Mol. Biol., 25, 4 (2018).[2] S. Ferréa, F.
                      Ciruelab, V. Casadóc, and L. Pardod, Prog. Mol. Biol.
                      Transl. Sci., 169, 297 (2020)[3] Z. Tan, V. Calandrini J. K.
                      G. Dhont, G. Nägele, and R. G. Winkler, Soft Matter, 17,
                      7978 (2021).},
      abstract     = {Neuronal signal transduction plays a central role in brain
                      functioning, and it involves molecular signaling cascades in
                      which different biomacromolecules are diffusing and
                      interacting. These electrochemical cascades are initiated in
                      the two-dimensional postsynaptic cell membrane and
                      three-dimensional cytosol, and they are responsible for
                      information transmission and regulation of biological
                      processes related to memory, learning, and mood.
                      Specifically, interactions and mobilities of postsynaptic
                      membrane proteins are altered depending on their location in
                      or near to the membrane. Studies suggest that G-protein
                      coupled receptors (GPCRs) can form dimers/oligomers inside
                      the membrane [1], thereby affecting their transport and
                      hence signaling [2]. To date, the links between
                      spatio-temporal correlations of membrane macromolecules and
                      the neuronal cascades are not resolved. To explore how
                      diffusion mechanism, direct and hydrodynamic interactions,
                      and oligomerization of membrane proteins affect the
                      regulation of neurotransmission, we have developed a
                      mesoscale model of first-stage postsynaptic signaling, using
                      accordingly adjusted multiparticle collision dynamics (MPC)
                      and Langevin dynamics simulation methods. The newly
                      developed, coarse-graining MPC algorithm [3] allows to model
                      postsynaptic proteins as Brownian particles migrating inside
                      and alongside a three-layer immiscible binary fluid. This
                      work is a collaboration with INM-9, with a shared
                      Vorstand-Doktorand, and IBI-5.},
      month         = {Oct},
      date          = {2021-10-05},
      organization  = {INM $\&$ IBI Retreat 2021,
                       Jülich/Online (Germany), 5 Oct 2021 -
                       6 Oct 2021},
      subtyp        = {After Call},
      cin          = {IBI-4},
      cid          = {I:(DE-Juel1)IBI-4-20200312},
      pnm          = {5244 - Information Processing in Neuronal Networks
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5244},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/902785},
}