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@ARTICLE{Rossetti:201329,
      author       = {Rossetti, Giulia and Dibenedetto, Domenica and Calandrini,
                      Vania and Giorgetti, Alejandro and Carloni, Paolo},
      title        = {{S}tructural predictions of neurobiologically relevant
                      {G}-protein coupled receptors and intrinsically disordered
                      proteins},
      journal      = {Archives of biochemistry and biophysics},
      volume       = {582},
      issn         = {0003-9861},
      address      = {San Diego, Calif.},
      publisher    = {Elsevier},
      reportid     = {FZJ-2015-03626},
      pages        = {91–100},
      year         = {2015},
      note         = {.},
      abstract     = {G protein coupled receptors (GPCRs) and intrinsic
                      disordered proteins (IDPs) are key players for neuronal
                      function and dysfunction. Unfortunately, their structural
                      characterization is lacking in most cases. From one hand, no
                      experimental structure has been determined for the two
                      largest GPCRs subfamilies, both key proteins in neuronal
                      pathways. These are the odorant (450 members out of 900
                      human GPCRs) and the bitter taste receptors (25 members)
                      subfamilies. On the other hand, also IDPs structural
                      characterization is highly non-trivial. They exist as
                      dynamic, highly flexible structural ensembles that undergo
                      conformational conversions on a wide range of timescales,
                      spanning from picoseconds to milliseconds. Computational
                      methods may be of great help to characterize these neuronal
                      proteins. Here we review recent progress from our lab and
                      other groups to develop and apply in silico methods for
                      structural predictions of these highly relevant, fascinating
                      and challenging systems.},
      cin          = {INM-9 / IAS-5 / GRS / JSC},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-9-20140121 / I:(DE-Juel1)IAS-5-20120330 /
                      I:(DE-Juel1)GRS-20100316 / I:(DE-Juel1)JSC-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 511 -
                      Computational Science and Mathematical Methods (POF3-511)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000360781200010},
      pubmed       = {pmid:25797436},
      doi          = {10.1016/j.abb.2015.03.011},
      url          = {https://juser.fz-juelich.de/record/201329},
}