Evidence map›Paper›PMID 28799219›Full record

ArticleProtein science : a publication of the Protein Society2018

MMM: A toolbox for integrative structure modeling.

Gunnar Jeschke

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

  1. Article
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  7. FRET-guided selection of RNA 3D structures.Nucleic acids research · 2026
    Article
  8. The soluble state of the HIV-1 Vpu protein forms a complex with CaProtein science : a publication of the Protein Society · 2026
    Article
  9. Article
  10. Review
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  14. The LptC transmembrane helix undergoes a rigid body movement upon LptBProtein science : a publication of the Protein Society · 2025
    Article
  15. Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025
    Review
  16. Article
  17. Article
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  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

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

1 author.

Gunnar JeschkeDepartment of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, Zürich, CH-8093, Switzerland.ORCID 0000-0001-6853-8585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural characterization of proteins and their complexes may require integration of restraints from various experimental techniques. MMM (Multiscale Modeling of Macromolecules) is a Matlab-based open-source modeling toolbox for this purpose with a particular emphasis on distance distribution restraints obtained from electron paramagnetic resonance experiments on spin-labelled proteins and nucleic acids and their combination with atomistic structures of domains or whole protomers, small-angle scattering data, secondary structure information, homology information, and elastic network models. MMM does not only integrate various types of restraints, but also various existing modeling tools by providing a common graphical user interface to them. The types of restraints that can support such modeling and the available model types are illustrated by recent application examples.

Indexed as

Models, MolecularSoftwareElectron Spin Resonance SpectroscopyNucleic AcidsProtein DomainsProteinsProtein Structure, SecondaryNucleic AcidsProteinsdistance distributionsdockingensemble modelingmembrane proteinsprotein complexesrestraint-augmented homology modelingsite-directed spin labeling

Identifiers

PMID28799219
PMCPMC5734387

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.