Evidence map›Paper›PMID 23294579›Full record

ReviewCurrent opinion in structural biology2013

Low-resolution structural modeling of protein interactome.

Ilya A Vakser

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Fluorescence-Based Protein Stability Monitoring-A Review.International journal of molecular sciences · 2024
    Review
  2. Article
  3. Dockground resource for protein recognition studies.Protein science : a publication of the Protein Society · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Dockground: A comprehensive data resource for modeling of protein complexes.Protein science : a publication of the Protein Society · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016
    Review
  20. 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

1 author.

Ilya A VakserCenter for Bioinformatics, The University of Kansas, Lawrence, KS 66047, USA. vakser@ku.edu

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255NIGMS NIH HHS R01GM074255
6 · The paper itself

Abstract

Structural characterization of protein-protein interactions across the broad spectrum of scales is key to our understanding of life at the molecular level. Low-resolution approach to protein interactions is needed for modeling large interaction networks, given the significant level of uncertainties in large biomolecular systems and the high-throughput nature of the task. Since only a fraction of protein structures in interactome are determined experimentally, protein docking approaches are increasingly focusing on modeled proteins. Current rapid advancement of template-based modeling of protein-protein complexes is following a long standing trend in structure prediction of individual proteins. Protein-protein templates are already available for almost all interactions of structurally characterized proteins, and about one third of such templates are likely correct.

Indexed as

Models, MolecularProtein Interaction MappingMolecular Docking SimulationProtein BindingProteinsProteomeProteinsProteome

Identifiers

PMID23294579
PMCPMC3676717

What OpenQuestion holds

Textmetadata
LicenceTDM
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.