Evidence map›Paper›PMID 24550720›Full record

ArticlePLoS computational biology2014

The structural pathway of interleukin 1 (IL-1) initiated signaling reveals mechanisms of oncogenic mutations and SNPs in inflammation and cancer.

Saliha Ece Acuner Ozbabacan, Attila Gursoy, Ruth Nussinov, Ozlem Keskin

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Serum Biomarkers in Paediatric Neurosurgery: Traumatic Brain Injury and Beyond.Advances and technical standards in neurosurgery · 2026
    Article
  8. Article
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  10. Review
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  12. Article
  13. Article
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  16. Article
  17. Structural coverage of the human interactome.Briefings in bioinformatics · 2023
    Article
  18. Article
  19. Review
  20. IL-1RAP, a Key Therapeutic Target in Cancer.International journal of molecular sciences · 2022
    Review
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 at 2 institutions in 3 countries.

Saliha Ece Acuner OzbabacanCenter for Computational Biology and Bioinformatics and College of Engineering, Koc University, Sariyer Istanbul, Turkey.
Attila GursoyCenter for Computational Biology and Bioinformatics and College of Engineering, Koc University, Sariyer Istanbul, Turkey.
Ruth NussinovCancer and Inflammation Program, Leidos Biomedical Research, Inc., National Cancer Institute, Frederick National Laboratory, Frederick, Maryland, United States of America ; Sackler Inst. of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Ozlem KeskinCenter for Computational Biology and Bioinformatics and College of Engineering, Koc University, Sariyer Istanbul, Turkey.
Koç University · TRTel Aviv University · IL

Funding

Protein Structure, Stability, and Amyloid FormationZIABC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$11.8M
Biomolecular Recognition and Binding MechanismsZIABC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$9.4M
Method Development: Efficient Computer Vision Based AlgorithmsZIABC010442 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$2.4M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Interleukin-1 (IL-1) is a large cytokine family closely related to innate immunity and inflammation. IL-1 proteins are key players in signaling pathways such as apoptosis, TLR, MAPK, NLR and NF-κB. The IL-1 pathway is also associated with cancer, and chronic inflammation increases the risk of tumor development via oncogenic mutations. Here we illustrate that the structures of interfaces between proteins in this pathway bearing the mutations may reveal how. Proteins are frequently regulated via their interactions, which can turn them ON or OFF. We show that oncogenic mutations are significantly at or adjoining interface regions, and can abolish (or enhance) the protein-protein interaction, making the protein constitutively active (or inactive, if it is a repressor). We combine known structures of protein-protein complexes and those that we have predicted for the IL-1 pathway, and integrate them with literature information. In the reconstructed pathway there are 104 interactions between proteins whose three dimensional structures are experimentally identified; only 15 have experimentally-determined structures of the interacting complexes. By predicting the protein-protein complexes throughout the pathway via the PRISM algorithm, the structural coverage increases from 15% to 71%. In silico mutagenesis and comparison of the predicted binding energies reveal the mechanisms of how oncogenic and single nucleotide polymorphism (SNP) mutations can abrogate the interactions or increase the binding affinity of the mutant to the native partner. Computational mapping of mutations on the interface of the predicted complexes may constitute a powerful strategy to explain the mechanisms of activation/inhibition. It can also help explain how an oncogenic mutation or SNP works.

Indexed as

MutationOncogenesComputational BiologyComputer SimulationHumansInflammationInterleukin-1Interleukin-1 Receptor Accessory ProteinMAP Kinase Kinase 4MAP Kinase Kinase 7Mitogen-Activated Protein Kinase 10Mitogen-Activated Protein Kinase 9Models, BiologicalModels, MolecularMutagenesisNeoplasmsIL1R1 protein, humanIL1RAP protein, humanInterleukin-1Interleukin-1 Receptor Accessory ProteinMAP2K4 protein, humanMAP2K7 protein, humanMAP Kinase Kinase 4MAP Kinase Kinase 7Mitogen-Activated Protein Kinase 10Mitogen-Activated Protein Kinase 9Receptors, Interleukin-1 Type I

Identifiers

PMID24550720
PMCPMC3923659
OpenAlexW2123693759

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.