Evidence map›Paper›PMID 15923225›Full record

ArticleBiophysical journal2005

Global rigid body modeling of macromolecular complexes against small-angle scattering data.

Maxim V Petoukhov, Dmitri I Svergun

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 443 papers.

0numbers the graph read from it
0cells of the map it votes in
443citing 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

443 citing papers in PubMed.

  1. Article
  2. SuAVE-Scatter: A Module for Integrating Simulations and SAXS/SANS Analyses.Journal of chemical information and modeling · 2026
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  19. Article
  20. Journal of applied crystallography · 2024
    Article

383 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

2 authors.

Maxim V PetoukhovEuropean Molecular Biology Laboratory, Hamburg, Germany.
Dmitri I Svergun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New methods to automatically build models of macromolecular complexes from high-resolution structures or homology models of their subunits or domains against x-ray or neutron small-angle scattering data are presented. Depending on the complexity of the object, different approaches are employed for the global search of the optimum configuration of subunits fitting the experimental data. An exhaustive grid search is used for hetero- and homodimeric particles and for symmetric oligomers formed by identical subunits. For the assemblies or multidomain proteins containing more then one subunit/domain per asymmetric unit, heuristic algorithms based on simulated annealing are used. Fast computational algorithms based on spherical harmonics representation of scattering amplitudes are employed. The methods allow one to construct interconnected models without steric clashes, to account for the particle symmetry and to incorporate information from other methods, on distances between specific residues or nucleotides. For multidomain proteins, addition of missing linkers between the domains is possible. Simultaneous fitting of multiple scattering patterns from subcomplexes or deletion mutants is incorporated. The efficiency of the methods is illustrated by their application to complexes of different types in several simulated and practical examples. Limitations and possible ambiguity of rigid body modeling are discussed and simplified docking criteria are provided to rank multiple models. The methods described are implemented in publicly available computer programs running on major hardware platforms.

Indexed as

AlgorithmsModels, ChemicalModels, MolecularSoftwareComputer SimulationDimerizationMacromolecular SubstancesMolecular ConformationNeutron DiffractionX-Ray DiffractionMacromolecular Substances

Identifiers

PMID15923225
PMCPMC1366608

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.