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@ARTICLE{DiCairano:897209,
      author       = {Di Cairano, Loris and Stamm, Benjamin and Calandrini,
                      Vania},
      title        = {{S}ubdiffusive-{B}rownian crossover in membrane proteins: a
                      {G}eneralized {L}angevin {E}quation-based approach},
      journal      = {Biophysical journal},
      volume       = {120},
      number       = {21},
      issn         = {0006-3495},
      address      = {Bethesda, Md.},
      publisher    = {Soc.},
      reportid     = {FZJ-2021-03675},
      pages        = {4722-4737},
      year         = {2021},
      abstract     = {In this paper, we propose a Generalized Langevin Equation
                      (GLE)-based model to describe the lateral diffusion of a
                      protein in a lipid bilayer. The memory kernel is represented
                      in terms of a viscous (instantaneous) and an elastic (non
                      instantaneous) component modeled respectively through a
                      Dirac delta function and a three-parameter Mittag-Leffler
                      type function. By imposing a specific relationship between
                      the parameters of the three-parameters Mittag-Leffler
                      function, the different dynamical regimes, namely ballistic,
                      subdiffusive and Brownian, as well as the crossover from one
                      regime to another, are retrieved. Within this approach, the
                      transition time from the ballistic to the subdiffusive
                      regime and the spectrum of relaxation times underlying the
                      transition from the subdiffusive to the Brownian regime are
                      given. The reliability of the model is tested by comparing
                      the Mean Squared Displacement (MSD) derived in the framework
                      of this model and the MSD of a protein diffusing in a
                      membrane calculated through molecular dynamics (MD)
                      simulations.},
      cin          = {IAS-5 / INM-9},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524) / 5244 - Information Processing in Neuronal
                      Networks (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241 / G:(DE-HGF)POF4-5244},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34592261},
      UT           = {WOS:000716322100009},
      doi          = {10.1016/j.bpj.2021.09.033},
      url          = {https://juser.fz-juelich.de/record/897209},
}