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@ARTICLE{Lawson:1032604,
      author       = {Lawson, Catherine L. and Kryshtafovych, Andriy and
                      Pintilie, Grigore D. and Burley, Stephen K. and Černý,
                      Jiří and Chen, Vincent B. and Emsley, Paul and Gobbi,
                      Alberto and Joachimiak, Andrzej and Noreng, Sigrid and
                      Prisant, Michael G. and Read, Randy J. and Richardson, Jane
                      S. and Rohou, Alexis L. and Schneider, Bohdan and Sellers,
                      Benjamin D. and Shao, Chenghua and Sourial, Elizabeth and
                      Williams, Chris I. and Williams, Christopher J. and Yang,
                      Ying and Abbaraju, Venkat and Afonine, Pavel V. and Baker,
                      Matthew L. and Bond, Paul S. and Blundell, Tom L. and
                      Burnley, Tom and Campbell, Arthur and Cao, Renzhi and Cheng,
                      Jianlin and Chojnowski, Grzegorz and Cowtan, K. D. and
                      DiMaio, Frank and Esmaeeli, Reza and Giri, Nabin and
                      Grubmüller, Helmut and Hoh, Soon Wen and Hou, Jie and Hryc,
                      Corey F. and Hunte, Carola and Igaev, Maxim and Joseph,
                      Agnel P. and Kao, Wei-Chun and Kihara, Daisuke and Kumar,
                      Dilip and Lang, Lijun and Lin, Sean and Maddhuri Venkata
                      Subramaniya, Sai R. and Mittal, Sumit and Mondal, Arup and
                      Moriarty, Nigel W. and Muenks, Andrew and Murshudov, Garib
                      N. and Nicholls, Robert A. and Olek, Mateusz and Palmer,
                      Colin M. and Perez, Alberto and Pohjolainen, Emmi and
                      Pothula, Karunakar R. and Rowley, Christopher N. and Sarkar,
                      Daipayan and Schäfer, Luisa U. and Schlicksup, Christopher
                      J. and Schröder, Gunnar F. and Shekhar, Mrinal and Si, Dong
                      and Singharoy, Abhishek and Sobolev, Oleg V. and Terashi,
                      Genki and Vaiana, Andrea C. and Vedithi, Sundeep C. and
                      Verburgt, Jacob and Wang, Xiaoxiao and Warshamanage, Rangana
                      and Winn, Martyn D. and Weyand, Simone and Yamashita,
                      Keitaro and Zhao, Minglei and Schmid, Michael F. and Berman,
                      Helen M. and Chiu, Wah},
      title        = {{O}utcomes of the {EMD}ata{R}esource cryo-{EM} {L}igand
                      {M}odeling {C}hallenge},
      journal      = {Nature methods},
      volume       = {21},
      number       = {7},
      issn         = {1548-7091},
      address      = {London [u.a.]},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2024-06373},
      pages        = {1340 - 1348},
      year         = {2024},
      abstract     = {The EMDataResource Ligand Model Challenge aimed to assess
                      the reliability and reproducibility of modeling ligands
                      bound to protein and protein–nucleic acid complexes in
                      cryogenic electron microscopy (cryo-EM) maps determined at
                      near-atomic (1.9–2.5 Å) resolution. Three published
                      maps were selected as targets: Escherichia coli
                      beta-galactosidase with inhibitor, SARS-CoV-2 virus
                      RNA-dependent RNA polymerase with covalently bound
                      nucleotide analog and SARS-CoV-2 virus ion channel ORF3a
                      with bound lipid. Sixty-one models were submitted from 17
                      independent research groups, each with supporting workflow
                      details. The quality of submitted ligand models and
                      surrounding atoms were analyzed by visual inspection and
                      quantification of local map quality, model-to-map fit,
                      geometry, energetics and contact scores. A composite rather
                      than a single score was needed to assess
                      macromolecule+ligand model quality. These observations lead
                      us to recommend best practices for assessing cryo-EM
                      structures of liganded macromolecules reported at
                      near-atomic resolution.},
      cin          = {IBI-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IBI-7-20200312},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38918604},
      UT           = {WOS:001254026100002},
      doi          = {10.1038/s41592-024-02321-7},
      url          = {https://juser.fz-juelich.de/record/1032604},
}