---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19529'
abstract:
- lang: eng
  text: NRF2 is a transcription factor responsible for coordinating the expression
    of over a thousand cytoprotective genes. Although NRF2 is constitutively expressed,
    its stability is modulated by the redox-sensitive protein KEAP1 and other conditional
    binding partner regulators. The new era of NRF2 research has highlighted the cooperation
    between NRF2 and PIN1 in modifying its cytoprotective effect. Despite numerous
    studies, the understanding of the PIN1-NRF2 interaction remains limited. Herein,
    we described the binding interaction of PIN1 and three different 14-mer long phospho-peptides
    mimicking NRF2 protein using computer-based, biophysical, and biochemical approaches.
    According to our computational analyses, the residues positioned in the WW domain
    of PIN1 (Ser16, Arg17, Ser18, Tyr23, Ser32, Gln33, and Trp34) were found to be
    crucial for PIN1-NRF2 interactions. Biophysical FP assays were used to verify
    the computational prediction. The data demonstrated that Pintide, a peptide predominantly
    interacting with the PIN1 WW-domain, led to a significant reduction in the binding
    affinity of the NRF2 mimicking peptides. Moreover, we evaluated the impact of
    known PIN1 inhibitors (juglone, KPT-6566, and EGCG) on the PIN1-NRF2 interaction.
    Among the inhibitors, KPT-6566 showed the most potent inhibitory effect on PIN1-NRF2
    interaction within an IC<jats:sub>50</jats:sub> range of 0.3–1.4 µM. Furthermore,
    our mass spectrometry analyses showed that KPT-6566 appeared to covalently modify
    PIN1 via conjugate addition, rather than disulfide exchange of the sulfonyl-acetate
    moiety. Altogether, such inhibitors would also be highly valuable molecular probes
    for further investigation of PIN1 regulation of NRF2 in the cellular context and
    potentially pave the way for drug molecules that specifically inhibit the cytoprotective
    effects of NRF2 in cancer.
acknowledgement: The authors would like to thank the Ministry of National Education
  of Republic of Türkiye within the scope of the YLSY scholarship program for funding
  (AO). This article is based upon work from COST Action CA20121, supported by COST
  (European Cooperation in Science and Technology) (www.cost.eu) (https://benbedphar.org/about-benbedphar/).
  The molecular dynamics simulations reported in this paper were performed at TUBITAK
  ULAKBIM, High Performance and Grid Computing Center (TRUBA resources). The authors
  thank Dr Sharad Mistry for his support in acquiring and processing the MS data.
article_number: '8907'
article_processing_charge: Yes
article_type: original
author:
- first_name: Adem
  full_name: Ozleyen, Adem
  last_name: Ozleyen
- first_name: Gizem Nur
  full_name: Duran, Gizem Nur
  last_name: Duran
- first_name: Serhat
  full_name: Dönmez, Serhat
  id: 7c624079-3200-11ee-973b-9fcc8a575580
  last_name: Dönmez
- first_name: Mehmet
  full_name: Ozbil, Mehmet
  last_name: Ozbil
- first_name: Richard G.
  full_name: Doveston, Richard G.
  last_name: Doveston
- first_name: Tugba Boyunegmez
  full_name: Tumer, Tugba Boyunegmez
  last_name: Tumer
citation:
  ama: Ozleyen A, Duran GN, Dönmez S, Ozbil M, Doveston RG, Tumer TB. Identification
    and inhibition of PIN1-NRF2 protein–protein interactions through computational
    and biophysical approaches. <i>Scientific Reports</i>. 2025;15. doi:<a href="https://doi.org/10.1038/s41598-025-89342-0">10.1038/s41598-025-89342-0</a>
  apa: Ozleyen, A., Duran, G. N., Dönmez, S., Ozbil, M., Doveston, R. G., &#38; Tumer,
    T. B. (2025). Identification and inhibition of PIN1-NRF2 protein–protein interactions
    through computational and biophysical approaches. <i>Scientific Reports</i>. Springer
    Nature. <a href="https://doi.org/10.1038/s41598-025-89342-0">https://doi.org/10.1038/s41598-025-89342-0</a>
  chicago: Ozleyen, Adem, Gizem Nur Duran, Serhat Dönmez, Mehmet Ozbil, Richard G.
    Doveston, and Tugba Boyunegmez Tumer. “Identification and Inhibition of PIN1-NRF2
    Protein–Protein Interactions through Computational and Biophysical Approaches.”
    <i>Scientific Reports</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41598-025-89342-0">https://doi.org/10.1038/s41598-025-89342-0</a>.
  ieee: A. Ozleyen, G. N. Duran, S. Dönmez, M. Ozbil, R. G. Doveston, and T. B. Tumer,
    “Identification and inhibition of PIN1-NRF2 protein–protein interactions through
    computational and biophysical approaches,” <i>Scientific Reports</i>, vol. 15.
    Springer Nature, 2025.
  ista: Ozleyen A, Duran GN, Dönmez S, Ozbil M, Doveston RG, Tumer TB. 2025. Identification
    and inhibition of PIN1-NRF2 protein–protein interactions through computational
    and biophysical approaches. Scientific Reports. 15, 8907.
  mla: Ozleyen, Adem, et al. “Identification and Inhibition of PIN1-NRF2 Protein–Protein
    Interactions through Computational and Biophysical Approaches.” <i>Scientific
    Reports</i>, vol. 15, 8907, Springer Nature, 2025, doi:<a href="https://doi.org/10.1038/s41598-025-89342-0">10.1038/s41598-025-89342-0</a>.
  short: A. Ozleyen, G.N. Duran, S. Dönmez, M. Ozbil, R.G. Doveston, T.B. Tumer, Scientific
    Reports 15 (2025).
date_created: 2025-04-08T11:12:20Z
date_published: 2025-03-14T00:00:00Z
date_updated: 2025-09-30T11:33:37Z
day: '14'
ddc:
- '570'
department:
- _id: LeSa
doi: 10.1038/s41598-025-89342-0
external_id:
  isi:
  - '001445507400002'
  pmid:
  - '40087364'
file:
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file_date_updated: 2025-04-10T06:21:11Z
has_accepted_license: '1'
intvolume: '        15'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: Scientific Reports
publication_identifier:
  eissn:
  - 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Identification and inhibition of PIN1-NRF2 protein–protein interactions through
  computational and biophysical approaches
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2025'
...
