Evidence map›Paper›PMID 32981130›Full record

ArticleProtein science : a publication of the Protein Society2021

Covid-19.bioreproducibility.org: A web resource for SARS-CoV-2-related structural models.

Dariusz Brzezinski, Marcin Kowiel, David R Cooper, Marcin Cymborowski, Marek Grabowski, Alexander Wlodawer, Zbigniew Dauter, Ivan G Shabalin, Miroslaw Gilski, Bernhard Rupp and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
    Article
  2. Towards a dependable data set of structures for L-asparaginase research.Acta crystallographica. Section D, Structural biology · 2024
    Article
  3. Article
  4. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  5. A new inactive conformation of SARS-CoV-2 main protease.Acta crystallographica. Section D, Structural biology · 2022
    Article
  6. Optimal structure determination from sub-optimal diffraction data.Protein science : a publication of the Protein Society · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Synchrotron Radiation as a Tool for Macromolecular X-Ray Crystallography: a XXI Century Perspective.Nuclear instruments & methods in physics research. Section B, Beam interactions with materials and atoms · 2021
    Article
  13. Covid-19.bioreproducibility.org: A web resource for SARS-CoV-2-related structural models.Protein science : a publication of the Protein Society · 2021
    Article
  14. Structural genomics and the Protein Data Bank.The Journal of biological chemistry
    Review
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Dariusz BrzezinskiDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0001-9723-525X
Marcin KowielCenter for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.ORCID https://orcid.org/0000-0002-6269-3151
David R CooperDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0001-5240-9789
Marcin CymborowskiDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0001-6511-7945
Marek GrabowskiDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-8072-4919
Alexander WlodawerMacromolecular Crystallography Laboratory, National Cancer Institute, Frederick, Maryland, USA.ORCID https://orcid.org/0000-0002-5510-9703
Zbigniew DauterMacromolecular Crystallography Laboratory, National Cancer Institute, Frederick, Maryland, USA.ORCID https://orcid.org/0000-0002-8806-9066
Ivan G ShabalinDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0003-3955-9242
Miroslaw GilskiCenter for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.ORCID https://orcid.org/0000-0002-3941-9947
Bernhard Ruppk.-k. Hofkristallamt, San Diego, California, USA.ORCID https://orcid.org/0000-0002-3300-6965
Mariusz JaskolskiCenter for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.ORCID https://orcid.org/0000-0003-1587-6489
Wladek MinorDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0001-7075-7090
University of Virginia · USInstitute of Bioorganic Chemistry, Polish Academy of Sciences · PLFrederick National Laboratory for Cancer Research · USInnsbruck Medical University · AT

Funding

Protein StructureZIABC010348 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WLODAWER, ALEXANDER · 2009 to 2025
$27.5M
Reproducible, Unbiased Ligand Identification Assisted by Artificial Intelligence and Development of Ligand Reference LibrariesR01GM132595 · NIGMS · UNIVERSITY OF VIRGINIA · PI MINOR, WLADEK · 2019 to 2022
$2.3M
Chimeric ACE2 peptide ligand for diagnostic assays of SARS-CoV-2ZIABC011966 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WLODAWER, ALEXANDER · 2020 to 2023
$825k
Austrian Science Fund P32821Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer ResearchNarodowe Centrum Nauki 2020/01/0/NZ1/00134NIGMS NIH HHS R01 GM132595NIGMS NIH HHS R01-GM132595Polish National Agency for Academic Exchange PPN/BEK/2018/00058/U/00001
6 · The paper itself

Abstract

The COVID-19 pandemic has triggered numerous scientific activities aimed at understanding the SARS-CoV-2 virus and ultimately developing treatments. Structural biologists have already determined hundreds of experimental X-ray, cryo-EM, and NMR structures of proteins and nucleic acids related to this coronavirus, and this number is still growing. To help biomedical researchers, who may not necessarily be experts in structural biology, navigate through the flood of structural models, we have created an online resource, covid19.bioreproducibility.org, that aggregates expert-verified information about SARS-CoV-2-related macromolecular models. In this article, we describe this web resource along with the suite of tools and methodologies used for assessing the structures presented therein.

Indexed as

InternetCOVID-19Databases, ChemicalHumansModels, StructuralPandemicsResearchSARS-CoV-2Viral ProteinsViral ProteinscoronavirusCOVID-19ligand assessmentPDBreproducibilitySARS-CoV-2structure-guided drug discoverystructure validation

Identifiers

PMID32981130
PMCPMC7537053
OpenAlexW3088510896

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.