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@PHDTHESIS{DiCairano:837200,
author = {Di Cairano, Loris},
othercontributors = {Carloni, Paolo and Hartmann, Carsten and Stamm, Benjamin},
title = {{G}eneralized {L}angevin equation-based approach for
investigating complex biological systems},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2021-11852},
pages = {1 Online-Ressource : Illustrationen},
year = {2021},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2022; Dissertation, RWTH Aachen University, 2021},
abstract = {In this thesis, we propose several theoretical approaches
based on the generalized Langevin equation (GLE) for
describing the dynamics of biological systems. We focus our
attention on two particular topics relevant to molecular
signaling: the protein diffusion in lipid membrane and the
study of collective oscillations of vibrational modes within
a protein also known as Fröhlich condensation. Regarding
the protein diffusion in lipid membrane, we develop a
GLE-based model for the lateral diffusion of a protein
describing the lipid membrane as a linear viscoelastic
fluid. The main contribution to this field is to provide a
suitable modelling of the time-dependent friction function
entering the GLE which allows to describe the memory effects
due to the protein-membrane interactions and, therefore, to
describe the main viscoelastic properties of the lipid
membrane.More precisely, the friction function 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 by this model and the MSD obtained through molecular
dynamics simulations. In the context of Fröhlich
condensation, which is a biological conjectured effect where
all the internal vibrational modes of a protein condensate
into the lowest frequency mode when the system is pumped
externally, we provide an alternative approach based on
second quantization which allows to derive a GLE for the
protein vibrational modes. More precisely, we adopted the
same Hamiltonian operator in second quantization proposed by
Wu and Austin for describing the Fröhlich system composed
by protein, external source and heat bath. However, in order
to get a well-defined GLE, we slightly modify the Wu-Austin
Hamiltonian adding a further term which produces a zero mean
noise term, which is not possible otherwise. The main
contribution to this field consists in introducing a non
perturbative quantum procedure. In particular, starting from
the Heisenberg equations of motion for protein, heat bath
and source operators, we formally solve the heat bath and
source equations and we plug the solution into the protein
equation getting an operator GLE. Projecting such a GLE onto
a coherent state-basis, we get a c-number GLE which can be
solved as a stochastic Ito equation. The c-number GLE
written in the coherent state-basis naturally allows us to
provide observables for quantifying the degree of coherence
of the vibrational modes that, to the best of our knowledge,
has never been done in this context.},
cin = {137810 / 130000},
ddc = {530},
cid = {$I:(DE-82)137810_20140620$ / $I:(DE-82)130000_20140620$},
pnm = {CSD-SSD - Center for Simulation and Data Science (CSD) -
School for Simulation and Data Science (SSD)
(CSD-SSD-20190612) / Doktorandenprogramm
(PHD-PROGRAM-20170404)},
pid = {G:(DE-Juel1)CSD-SSD-20190612 /
G:(DE-HGF)PHD-PROGRAM-20170404},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2021-11852},
url = {https://publications.rwth-aachen.de/record/837200},
}