3 research outputs found
Community recommendations on cryoEM data archiving and validation
In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for the deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such
structures. This report describes the workshop’s motivation and history, the topics discussed, and the resulting consensus recommendations. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.The workshop was supported by funding to PDBe and EMDB by the Wellcome Trust (grant No. 104948/Z/14/Z awarded to GJK, SV and AP) and by the European Molecular Biology
Laboratory. Travel was supported by the PDBe, EMDB, RCSB PDB, PDBj, BMRB and EMDR. RCSB PDB is jointly funded by the National Science Foundation (grant No. DBI1832184); the US Department of Energy (grant No. DESC0019749); and the National Cancer Institute, National
Institute of Allergy and Infectious Diseases, and National Institute of General Medical Sciences of the National Institutes of Health (grant No. R01GM133198). PDBj is funded by JST-NBDC and BMRB by the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) (grant No. R24GM150793). EMDR was funded by the NIGMS of the NIH (grant No. R01GM079429).Peer reviewe
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Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge.
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