Evidence map›Paper›PMID 18711339›Full record

ArticleNature biotechnology2008

Predicting PDZ domain-peptide interactions from primary sequences.

Jiunn R Chen, Bryan H Chang, John E Allen, Michael A Stiffler, Gavin MacBeath

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

79 citing papers in PubMed, 131 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. A Fluorescence-Based Assay to Determine PDZ-Ligand Binding Thermodynamics.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  7. Article
  8. Emerging Themes in PDZ Domain Signaling: Structure, Function, and Inhibition.International review of cell and molecular biology · 2019
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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
  18. Article
  19. Article
  20. Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jiunn R ChenDepartment of Molecular and Cellular Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02138, USA.
Bryan H Chang
John E Allen
Michael A Stiffler
Gavin MacBeath
Harvard University · US

Funding

Measuring and Predicting PDZ Domain-Peptide Interactions on a Genome-wide ScaleR01GM072872 · NIGMS · HARVARD UNIVERSITY · PI MACBEATH, GAVIN · 2005 to 2013
$3.1M
NIGMS NIH HHS 1 R01 GM072872-01NIGMS NIH HHS R01 GM072872
6 · The paper itself

Abstract

PDZ domains constitute one of the largest families of interaction domains and function by binding the C termini of their target proteins. Using Bayesian estimation, we constructed a three-dimensional extension of a position-specific scoring matrix that predicts to which peptides a PDZ domain will bind, given the primary sequences of the PDZ domain and the peptides. The model, which was trained using interaction data from 82 PDZ domains and 93 peptides encoded in the mouse genome, successfully predicts interactions involving other mouse PDZ domains, as well as PDZ domains from Drosophila melanogaster and, to a lesser extent, PDZ domains from Caenorhabditis elegans. The model also predicts the differential effects of point mutations in peptide ligands on their PDZ domain-binding affinities. Overall, we show that our approach captures, in a single model, the binding selectivity of the PDZ domain family.

Indexed as

AnimalsBase SequenceCaenorhabditis elegansComputational BiologyDrosophila melanogasterKineticsLigandsMiceMicroscopy, FluorescenceMolecular ConformationMolecular Sequence DataPeptidesProtein BindingProtein Structure, TertiaryROC CurveLigandsPeptides

Identifiers

PMID18711339
PMCPMC2655215
OpenAlexW2063092201

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.