Evidence map›Paper›PMID 39443474›Full record

ArticleScientific reports2024

Cheminformatics-aided discovery of potential allosteric site modulators of ubiquitin-specific protease 7.

Olayinka Abraham Ojedele, Haruna Isiyaku Umar, Soukayna Baammi, Amira Metouekel, Atrsaw Asrat Mengistie, Yousef A Bin Jardan, Gamal A Shazly, Omoboyede Victor

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Pharmacological assessment ofBioinformatics advances · 2025
    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

8 authors.

Olayinka Abraham OjedeleDepartment of Biochemistry, School of Life Sciences (SLS), Federal University of Technology Akure, P.M.B 704, Akure, Nigeria.
Haruna Isiyaku UmarDepartment of Biochemistry, School of Life Sciences (SLS), Federal University of Technology Akure, P.M.B 704, Akure, Nigeria.
Soukayna BaammiBioinformatics Laboratory, College of Computing, Mohammed VI Polytechnic University, Ben Guerir, Morocco.
Amira MetouekelUniversity of Technology of Compiègne, EA 4297 TIMR, Compiègne Cedex, 60205, France.
Atrsaw Asrat MengistieDepartment of Biology, Bahir Dar University, P.O.Box 79, Bahir Dar, Ethiopia. smartresercher@gmail.com.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 11451, Riyadh, 11451, Saudi Arabia.
Gamal A ShazlyDepartment of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box 11451, Riyadh, 11451, Saudi Arabia.
Omoboyede VictorDepartment of Biochemistry, School of Life Sciences (SLS), Federal University of Technology Akure, P.M.B 704, Akure, Nigeria. omoboyedemmvic@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ubiquitin-specific peptidase 7 (USP7) is a deubiquitinating enzyme that mediates the stability and activity of numerous proteins. At basal expression levels, USP7 stabilizes p53 protein, even in the presence of excess MDM2. However, its overexpression leads to the deubiquitination of MDM2 at a rate faster than p53, leading to p53 degradation and pro-tumorigenic roles. Consequently, it is an attractive target for anticancer drug discovery via the modulation of its allosteric site from which the protein is activated. In this study, molecular modeling techniques and cheminformatics approaches were employed to unravel the potential of eighty compounds to serve as its allosteric site modulators. The compounds were initially subjected to virtual screening. Subsequently, the binding free energies of the top four compounds with the highest binding affinities were calculated, and their drug-likeness, and pharmacokinetic and toxicity profiles were evaluated. Ultimately, the complexes of the protein and hit compounds were subjected to a 100 nanoseconds (ns) molecular dynamics simulation. The results of the study revealed eight compounds from the compound library with docking scores ranging from - 7.491 to -11.43 kcal/mol, compared to P217564, which exhibited a docking score of -5.671 kcal/mol. The top four compounds with the highest affinities possessed drug-like properties, and good pharmacokinetic and toxicity profiles, and their predicted inhibitory potentials showed they will be effective at minimal concentration. Also, molecular dynamics simulation confirmed the stability of the protein-ligand complexes. Conclusively, the compounds identified in this study are worthy of further evaluation for the development of allosteric site modulators of USP7.

Indexed as

Allosteric SiteMolecular Docking SimulationMolecular Dynamics SimulationUbiquitin-Specific Peptidase 7CheminformaticsDrug DiscoveryHumansLigandsProtein BindingProto-Oncogene Proteins c-mdm2LigandsProto-Oncogene Proteins c-mdm2Ubiquitin-Specific Peptidase 7USP7 protein, humanAutoQSARCancerMolecular modelingPIC50Ubiquitin-specific peptidase 7

Identifiers

PMID39443474
PMCPMC11499889

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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.