Evidence map›Paper›PMID 33999617›Full record

ArticleAnalytical chemistry2021

Prediction of Protein Complex Structure Using Surface-Induced Dissociation and Cryo-Electron Microscopy.

Justin T Seffernick, Shane M Canfield, Sophie R Harvey, Vicki H Wysocki, Steffen Lindert

Abstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Protein Structure Prediction with Mass Spectrometry Data.Annual review of physical chemistry · 2022
    Review
  14. Article
  15. Recent technological developments for native mass spectrometry.Biochimica et biophysica acta. Proteins and proteomics · 2022
    Review
  16. Article
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

5 authors.

Justin T SeffernickDepartment of Chemistry and Biochemistry, Ohio State University, 2114 Newman & Wolfrom Laboratory, 100 West 18th Avenue, Columbus, Ohio 43210, United States.
Shane M CanfieldDepartment of Chemistry, Kenyon College, Gambier, Ohio 43022, United States.
Sophie R HarveyDepartment of Chemistry and Biochemistry, Ohio State University, 2114 Newman & Wolfrom Laboratory, 100 West 18th Avenue, Columbus, Ohio 43210, United States.ORCID 0000-0003-0763-8173
Vicki H WysockiDepartment of Chemistry and Biochemistry, Ohio State University, 2114 Newman & Wolfrom Laboratory, 100 West 18th Avenue, Columbus, Ohio 43210, United States.ORCID 0000-0003-0495-2538
Steffen LindertDepartment of Chemistry and Biochemistry, Ohio State University, 2114 Newman & Wolfrom Laboratory, 100 West 18th Avenue, Columbus, Ohio 43210, United States.ORCID 0000-0002-3976-3473

Funding

Waters Select Series Cyclic IMS for P41 Native MS Resource Application to Alzheimer's DiseaseP41GM128577 · NIGMS · OHIO STATE UNIVERSITY · PI WYSOCKI, VICKI H. · 2018 to 2022
$7.6M
NIGMS NIH HHS P41 GM128577
6 · The paper itself

Abstract

A variety of techniques involving the use of mass spectrometry (MS) have been developed to obtain structural information on proteins and protein complexes. One example of these techniques, surface-induced dissociation (SID), has been used to study the oligomeric state and connectivity of protein complexes. Recently, we demonstrated that appearance energies (AE) could be extracted from SID experiments and that they correlate with structural features of specific protein-protein interfaces. While SID AE provides some structural information, the AE data alone are not sufficient to determine the structures of the complexes. For this reason, we sought to supplement the data with computational modeling, through protein-protein docking. In a previous study, we demonstrated that the scoring of structures generated from protein-protein docking could be improved with the inclusion of SID data; however, this work relied on knowledge of the correct tertiary structure and only built full complexes for a few cases. Here, we performed docking using input structures that require less prior knowledge, using homology models, unbound crystal structures, and bound+perturbed crystal structures. Using flexible ensemble docking (to build primarily subcomplexes from an ensemble of backbone structures), the RMSD

Indexed as

ProteinsCryoelectron MicroscopyMass SpectrometryProtein ConformationProteins

Identifiers

PMID33999617
PMCPMC8344370

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Registered trials

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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.