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@ARTICLE{Ginn:578456,
      author       = {Ginn, Helen},
      title        = {{T}orsion angles to map and visualize the conformational
                      space of a protein},
      journal      = {Protein science},
      volume       = {32},
      number       = {4},
      issn         = {0961-8368},
      address      = {Bethesda, Md.},
      publisher    = {Protein Society},
      reportid     = {PUBDB-2023-00952},
      pages        = {e4608},
      year         = {2023},
      note         = {License CC-BY},
      abstract     = {Present understanding of protein structure dynamics trails
                      behind that of static structures. A torsion angle based
                      approach, called representation of protein entities (RoPE),
                      derives an interpretable conformational space which
                      correlates with data collection temperature, resolution and
                      reaction coordinate. For more complex systems, atomic
                      coordinates fail to separate functional conformational
                      states, which are still preserved by torsion angle-derived
                      space. This indicates that torsion angles are often a more
                      sensitive and biologically relevant descriptor for protein
                      conformational dynamics than atomic coordinates.},
      cin          = {FS-CFEL-1 / FS-CFEL-1-DNMX},
      ddc          = {610},
      cid          = {I:(DE-H253)FS-CFEL-1-20120731 /
                      I:(DE-H253)FS-CFEL-1-DNMX-20231108},
      pnm          = {633 - Life Sciences – Building Blocks of Life: Structure
                      and Function (POF4-633)},
      pid          = {G:(DE-HGF)POF4-633},
      experiment   = {EXP:(DE-H253)CFEL-Exp-20150101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36840926},
      UT           = {WOS:000949309400001},
      doi          = {10.1002/pro.4608},
      url          = {https://bib-pubdb1.desy.de/record/578456},
}