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@ARTICLE{Oliva:1024532,
      author       = {Oliva, Francesco and Musiani, Francesco and Giorgetti,
                      Alejandro and De Rubeis, Silvia and Sorokina, Oksana and
                      Armstrong, Douglas J. and Carloni, Paolo and Ruggerone,
                      Paolo},
      title        = {{M}odelling e{N}vironment for {I}soforms ({M}o{N}v{I}so):
                      {A} general platform to predict structural determinants of
                      protein isoforms in genetic diseases},
      journal      = {Frontiers in Chemistry},
      volume       = {10},
      issn         = {2296-2646},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2024-02219},
      pages        = {1059593},
      year         = {2023},
      abstract     = {The seamless integration of human disease-related mutation
                      data into proteinstructures is an essential component of any
                      attempt to correctly assess theimpact of the mutation. The
                      key step preliminary to any structural modelling isthe
                      identification of the isoforms onto which mutations should
                      be mapped dueto there being several functionally different
                      protein isoforms from the samegene. To handle large sets of
                      data coming from omics techniques, thischallenging task
                      needs to be automatized. Here we present the
                      MoNvIso(Modelling eNvironment for Isoforms) code, which
                      identifies the most usefulisoform for computational
                      modelling, balancing the coverage of mutations ofinterest
                      and the availability of templates to build a structural
                      model of both thewild-type isoform and the related
                      variants.},
      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       = {36700074},
      UT           = {WOS:000921373000001},
      doi          = {10.3389/fchem.2022.1059593},
      url          = {https://juser.fz-juelich.de/record/1024532},
}