Evidence map›Paper›PMID 25897115›Full record

ArticleNucleic acids research2015

pyDockSAXS: protein-protein complex structure by SAXS and computational docking.

Brian Jiménez-García, Carles Pons, Dmitri I Svergun, Pau Bernadó, Juan Fernández-Recio

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Evolving Experimental Techniques for Structure-Based Drug Design.The journal of physical chemistry. B · 2022
    Review
  7. Review
  8. Article
  9. Conjuring up a ghost: structural and functional characterization of FhuF, a ferric siderophore reductase from E. coli.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2021
    Article
  10. Review
  11. Review
  12. Docking approaches for modeling multi-molecular assemblies.Current opinion in structural biology · 2020
    Review
  13. Article
  14. Article
  15. Protein-assisted RNA fragment docking (RnaX) for modeling RNA-protein interactions using ModelX.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  16. Article
  17. Article
  18. Review
  19. What method to use for protein-protein docking?Current opinion in structural biology · 2019
    Review
  20. 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.

Brian Jiménez-GarcíaJoint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, 08034 Barcelona, Spain.
Carles PonsDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Dmitri I SvergunEuropean Molecular Biology Laboratory, Hamburg Outstation, 22603 Hamburg, Germany.
Pau BernadóCentre de Biochimie Structurale, INSERM U1054, CNRS UMR 5048, Université Montpellier 1 and 2, F-34090 Montpellier, France.
Juan Fernández-RecioJoint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, 08034 Barcelona, Spain juanf@bsc.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural characterization of protein-protein interactions at molecular level is essential to understand biological processes and identify new therapeutic opportunities. However, atomic resolution structural techniques cannot keep pace with current advances in interactomics. Low-resolution structural techniques, such as small-angle X-ray scattering (SAXS), can be applied at larger scale, but they miss atomic details. For efficient application to protein-protein complexes, low-resolution information can be combined with theoretical methods that provide energetic description and atomic details of the interactions. Here we present the pyDockSAXS web server (http://life.bsc.es/pid/pydocksaxs) that provides an automatic pipeline for modeling the structure of a protein-protein complex from SAXS data. The method uses FTDOCK to generate rigid-body docking models that are subsequently evaluated by a combination of pyDock energy-based scoring function and their capacity to describe SAXS data. The only required input files are structural models for the interacting partners and a SAXS curve. The server automatically provides a series of structural models for the complex, sorted by the pyDockSAXS scoring function. The user can also upload a previously computed set of docking poses, which opens the possibility to filter the docking solutions by potential interface residues or symmetry restraints. The server is freely available to all users without restriction.

Indexed as

Scattering, Small AngleSoftwareX-Ray DiffractionInternetMolecular Docking SimulationMultiprotein ComplexesProtein Interaction MappingMultiprotein Complexes

Identifiers

PMID25897115
PMCPMC4489248

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.