Evidence map›Paper›PMID 14759261›Full record

ArticleGenome biology2004

Predicting specificity in bZIP coiled-coil protein interactions.

Jessica H Fong, Amy E Keating, Mona Singh

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Selective antagonism of cJun for cancer therapy.Journal of experimental & clinical cancer research : CR · 2020
    Review
  7. Article
  8. Article
  9. CCBuilder 2.0: Powerful and accessible coiled-coil modeling.Protein science : a publication of the Protein Society · 2018
    Article
  10. Article
  11. α-Helical coiled-coil peptide materials for biomedical applications.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2017
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Learning sequence determinants of protein:protein interaction specificity with sparse graphical models.Journal of computational biology : a journal of computational molecular cell biology · 2015
    Article
  17. Article
  18. Article
  19. Article
  20. Increasing the affinity of selective bZIP-binding peptides through surface residue redesign.Protein science : a publication of the Protein Society · 2014
    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

3 authors.

Jessica H FongComputer Science Department and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Olden Street, Princeton, NJ 08544, USA.
Amy E Keating
Mona Singh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a method for predicting protein-protein interactions mediated by the coiled-coil motif. When tested on interactions between nearly all human and yeast bZIP proteins, our method identifies 70% of strong interactions while maintaining that 92% of predictions are correct. Furthermore, cross-validation testing shows that including the bZIP experimental data significantly improves performance. Our method can be used to predict bZIP interactions in other genomes and is a promising approach for predicting coiled-coil interactions more generally.

Indexed as

Amino Acid MotifsBasic-Leucine Zipper Transcription FactorsComputational BiologyDNA-Binding ProteinsFungal ProteinsG-Box Binding FactorsHumansModels, MolecularProtein BindingProtein Structure, SecondaryReproducibility of ResultsStatic ElectricityTranscription FactorsBasic-Leucine Zipper Transcription FactorsDNA-Binding ProteinsFungal ProteinsG-Box Binding FactorsTranscription Factors

Identifiers

PMID14759261
PMCPMC395749

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.