Evidence map›Paper›PMID 25848797›Full record

ArticlePloS one2015

Cullin3-BTB interface: a novel target for stapled peptides.

Ivan de Paola, Luciano Pirone, Maddalena Palmieri, Nicole Balasco, Luciana Esposito, Luigi Russo, Daniela Mazzà, Lucia Di Marcotullio, Sonia Di Gaetano, Gaetano Malgieri and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Kelch-like proteins in the gastrointestinal tumors.Acta pharmacologica Sinica · 2023
    Review
  5. De novo mapping of α-helix recognition sites on protein surfaces using unbiased libraries.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Stapled Peptides Inhibitors: A New Window for Target Drug Discovery.Computational and structural biotechnology journal · 2019
    Review
  11. Structural Characterization of theMolecules (Basel, Switzerland) · 2018
    Article
  12. Article
  13. 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

13 authors at 4 institutions in 1 country.

Ivan de PaolaInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy.
Luciano PironeInstitute of Crystallography, C.N.R., Bari, Italy.
Maddalena PalmieriSecond University of Napoli, Caserta, Italy.
Nicole BalascoInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Second University of Napoli, Caserta, Italy.
Luciana EspositoInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Interuniversity Centre for Research on Bioactive Peptides (CIRPEB), Napoli, Italy.
Luigi RussoSecond University of Napoli, Caserta, Italy.
Daniela MazzàDepartment of Molecular Medicine, La Sapienza University, Roma, Italy.
Lucia Di MarcotullioDepartment of Molecular Medicine, La Sapienza University, Roma, Italy.
Sonia Di GaetanoInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Interuniversity Centre for Research on Bioactive Peptides (CIRPEB), Napoli, Italy.
Gaetano MalgieriSecond University of Napoli, Caserta, Italy.
Luigi VitaglianoInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Interuniversity Centre for Research on Bioactive Peptides (CIRPEB), Napoli, Italy.
Emilia PedoneInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Interuniversity Centre for Research on Bioactive Peptides (CIRPEB), Napoli, Italy.
Laura ZaccaroInstitute of Biostructures and Bioimaging, C.N.R., Napoli, Italy; Interuniversity Centre for Research on Bioactive Peptides (CIRPEB), Napoli, Italy.
Institute of Biostructure and Bioimaging · ITSapienza University of Rome · ITCentro Interuniversitario di Ricerca sui Peptidi Bioattivi · ITInstitute of Crystallography · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cullin3 (Cul3), a key factor of protein ubiquitination, is able to interact with dozens of different proteins containing a BTB (Bric-a-brac, Tramtrack and Broad Complex) domain. We here targeted the Cul3-BTB interface by using the intriguing approach of stabilizing the α-helical conformation of Cul3-based peptides through the "stapling" with a hydrocarbon cross-linker. In particular, by combining theoretical and experimental techniques, we designed and characterized stapled Cul3-based peptides embedding the helix 2 of the protein (residues 49-68). Intriguingly, CD and NMR experiments demonstrate that these stapled peptides were able to adopt the helical structure that the fragment assumes in the parent protein. We also show that some of these peptides were able to bind to the BTB of the tetrameric KCTD11, a substrate adaptor involved in HDAC1 degradation, with high affinity (~ 300-600 nM). Cul3-derived staple peptides are also able to bind the BTB of the pentameric KCTD5. Interestingly, the affinity of these peptides is of the same order of magnitude of that reported for the interaction of full-length Cul3 with some BTB containing proteins. Moreover, present data indicate that stapling endows these peptides with an increased serum stability. Altogether, these findings indicate that the designed stapled peptides can efficiently mimic protein-protein interactions and are potentially able to modulate fundamental biological processes involving Cul3.

Indexed as

Cullin ProteinsHumansPeptidesProtein Structure, SecondaryProtein Structure, TertiaryCUL3 protein, humanCullin ProteinsPeptides

Identifiers

PMID25848797
PMCPMC4388676
OpenAlexW2124431218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.