Evidence map›Paper›PMID 18839074›Full record

ReviewCellular & molecular biology letters2009

The interactome: predicting the protein-protein interactions in cells.

Dariusz Plewczyński, Krzysztof Ginalski

Abstract readReview
In one paragraph

Review in Cellular & molecular biology letters, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  8. Article
  9. Review
  10. 2D Zernike polynomial expansion: Finding the protein-protein binding regions.Computational and structural biotechnology journal · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. GIDMP: good protein-protein interaction data metamining practice.Cellular & molecular biology letters · 2011
    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

2 authors.

Dariusz PlewczyńskiInterdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Pawińskiego 5a, 02-106 Warsaw, Poland. D.Plewczynski@icm.edu.pl
Krzysztof Ginalski

Funding

High-Accuracy Protein Models Derived from Lower Resolution DataR01GM081680 · NIGMS · IOWA STATE UNIVERSITY · PI KLOCZKOWSKI, ANDRZEJ · 2007 to 2009
$763k
NIGMS NIH HHS 1R01GM081680-01
6 · The paper itself

Abstract

The term Interactome describes the set of all molecular interactions in cells, especially in the context of protein-protein interactions. These interactions are crucial for most cellular processes, so the full representation of the interaction repertoire is needed to understand the cell molecular machinery at the system biology level. In this short review, we compare various methods for predicting protein-protein interactions using sequence and structure information. The ultimate goal of those approaches is to present the complete methodology for the automatic selection of interaction partners using their amino acid sequences and/or three dimensional structures, if known. Apart from a description of each method, details of the software or web interface needed for high throughput prediction on the whole genome scale are also provided. The proposed validation of the theoretical methods using experimental data would be a better assessment of their accuracy.

Indexed as

AlgorithmsCellsHumansProtein Interaction MappingProteinsSequence Analysis, ProteinProteins

Identifiers

PMID18839074
PMCPMC6275871

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.