Evidence map›Paper›PMID 24421312›Full record

ArticleThe Journal of biological chemistry2014

A frustrated binding interface for intrinsically disordered proteins.

Per Jemth, Xin Mu, Åke Engström, Jakob Dogan

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Determinants of Protein Folding Pathways: Lessons from Metamorphic Proteins.International journal of molecular sciences · 2026
    Review
  3. Article
  4. The intrinsically disordered protein NUPR1 binds to phospholipids.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
  6. Folding-upon-binding pathways of an intrinsically disordered protein from a deep Markov state model.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Classifying the Binding Modes of Disordered Proteins.International journal of molecular sciences · 2020
    Review
  14. Templated folding of intrinsically disordered proteins.The Journal of biological chemistry · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

4 authors.

Per JemthFrom the Department of Medical Biochemistry and Microbiology, Uppsala University, SE-75123 Uppsala, Sweden.
Xin Mu
Åke Engström
Jakob Dogan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsically disordered proteins are very common in the eukaryotic proteome, and many of them are associated with diseases. Disordered proteins usually undergo a coupled binding and folding reaction and often interact with many different binding partners. Using double mutant cycles, we mapped the energy landscape of the binding interface for two interacting disordered domains and found it to be largely suboptimal in terms of interaction free energies, despite relatively high affinity. These data depict a frustrated energy landscape for interactions involving intrinsically disordered proteins, which is likely a result of their functional promiscuity.

Indexed as

Models, MolecularProtein FoldingHumansMutationNuclear Receptor Coactivator 3Recombinant ProteinsNCOA3 protein, humanNuclear Receptor Coactivator 3Recombinant ProteinsIntrinsically Disordered ProteinsKineticsProtein DomainsProtein EngineeringProtein-Protein Interactions

Identifiers

PMID24421312
PMCPMC3937629

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.