Evidence map›Paper›PMID 24688699›Full record

ReviewComputational and structural biotechnology journal2013

Small world network strategies for studying protein structures and binding.

Neil R Taylor

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

22 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Temperature induces a shift from insulin dihexamer to hexamer in collective dynamics.Protein science : a publication of the Protein Society · 2025
    Article
  3. Heterogeneous network approaches to protein pathway prediction.Computational and structural biotechnology journal · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Saturation Mutagenesis of the Transmembrane Region of HokC inInternational journal of molecular sciences · 2021
    Article
  8. Article
  9. Protein conformational switch discerned via network centrality properties.Computational and structural biotechnology journal · 2021
    Article
  10. Article
  11. Article
  12. RBinds: A user-friendly server for RNA binding site prediction.Computational and structural biotechnology journal · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. NAPS: Network Analysis of Protein Structures.Nucleic acids research · 2016
    Article
  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

1 author.

Neil R TaylorDesert Scientific Software Pty Ltd, Level 5 Nexus Building, Norwest Business Park, 4 Columbia Court, Norwest, NSW, 2153, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small world network concepts provide many new opportunities to investigate the complex three dimensional structures of protein molecules. This mini-review explores the published literature on using small-world network approaches to study protein structure, with emphasis on the different combinations of descriptors that have been tested, on studies involving ligand binding in protein-ligand complexes, and on protein-protein complexes. The benefits and success of small world network approaches, which change the focus from specific interactions to the local environment, even to non-local phenomenon, are described. The purpose is to show the different ways that small world network concepts have been used for building new computational models for studying protein structure and function, and for extending and improving existing modelling approaches.

Indexed as

protein-ligand bindingprotein-protein bindingprotein structureSmall world network

Identifiers

PMID24688699
PMCPMC3962176
OpenAlexW2163300188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.