Evidence map›Paper›PMID 18326645›Full record

ArticleBiophysical journal2008

Simulation-based fitting of protein-protein interaction potentials to SAXS experiments.

Seung Joong Kim, Charles Dumont, Martin Gruebele

Abstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Chemical interactions modulate λProtein science : a publication of the Protein Society · 2023
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Macromolecular assembly of polycystin-2 intracytosolic C-terminal domain.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

Seung Joong KimDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Charles Dumont
Martin Gruebele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new method for computing interaction potentials of solvated proteins directly from small-angle x-ray scattering data. An ensemble of proteins is modeled by Monte Carlo or molecular dynamics simulation. The global x-ray scattering of the whole model ensemble is then computed at each snapshot of the simulation, and averaged to obtain the x-ray scattering intensity. Finally, the interaction potential parameters are adjusted by an optimization algorithm, and the procedure is iterated until the best agreement between simulation and experiment is obtained. This new approach obviates the need for approximations that must be made in simplified analytical models. We apply the method to lambda repressor fragment 6-85 and fyn-SH3. With the increased availability of fast computer clusters, Monte Carlo and molecular dynamics analysis using residue-level or even atomistic potentials may soon become feasible.

Indexed as

AlgorithmsModels, ChemicalScattering, Small AngleComputer SimulationCrystallographyElectromagnetic FieldsProtein BindingProtein Interaction MappingScattering, Radiation

Identifiers

PMID18326645
PMCPMC2397344

What OpenQuestion holds

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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.