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@ARTICLE{Micheli:904557,
      author       = {Micheli, Pietro and Ribeiro, Rui and Giorgetti, Alejandro},
      title        = {{A} {M}echanistic {M}odel of {NMDA} and {AMPA}
                      {R}eceptor-{M}ediated {S}ynaptic {T}ransmission in
                      {I}ndividual {H}ippocampal {CA}3-{CA}1 {S}ynapses: {A}
                      {C}omputational {M}ultiscale {A}pproach},
      journal      = {International journal of molecular sciences},
      volume       = {22},
      number       = {4},
      issn         = {1422-0067},
      address      = {Basel},
      publisher    = {Molecular Diversity Preservation International},
      reportid     = {FZJ-2021-06127},
      pages        = {1536 -},
      year         = {2021},
      abstract     = {Inside hippocampal circuits, neuroplasticity events that
                      individual cells may undergo during synaptic transmissions
                      occur in the form of Long-Term Potentiation (LTP) and
                      Long-Term Depression (LTD). The high density of NMDA
                      receptors expressed on the surface of the dendritic CA1
                      spines confers to hippocampal CA3-CA1 synapses the ability
                      to easily undergo NMDA-mediated LTP and LTD, which is
                      essential for some forms of explicit learning in mammals.
                      Providing a comprehensive kinetic model that can be used for
                      running computer simulations of the synaptic transmission
                      process is currently a major challenge. Here, we propose a
                      compartmentalized kinetic model for CA3-CA1 synaptic
                      transmission. Our major goal was to tune our model in order
                      to predict the functional impact caused by disease
                      associated variants of NMDA receptors related to severe
                      cognitive impairment. Indeed, for variants Glu413Gly and
                      Cys461Phe, our model predicts negative shifts in the
                      glutamate affinity and changes in the kinetic behavior,
                      consistent with experimental data. These results point to
                      the predictive power of this multiscale viewpoint, which
                      aims to integrate the quantitative kinetic description of
                      large interaction networks typical of system biology
                      approaches with a focus on the quality of a few, key,
                      molecular interactions typical of structural biology ones},
      cin          = {IAS-5 / INM-9},
      ddc          = {540},
      cid          = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33546429},
      UT           = {WOS:000623818000001},
      doi          = {10.3390/ijms22041536},
      url          = {https://juser.fz-juelich.de/record/904557},
}