Evidence map›Paper›PMID 40289327›Full record

ArticleChemMedChem2025

Beyond Docking: A Multitier Computational Pipeline for USP7 Inhibitor Optimization.

Ehsan Sayyah, Muhammet Eren Ulug, Serdar Durdağı

Abstract read
In one paragraph

Article in ChemMedChem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ehsan SayyahLab for Innovative Drugs (Lab4IND), Computational Drug Design Center (HİTMER), Bahçeşehir University, 34746, İstanbul, Türkiye.
Muhammet Eren UlugLab for Innovative Drugs (Lab4IND), Computational Drug Design Center (HİTMER), Bahçeşehir University, 34746, İstanbul, Türkiye.
Serdar DurdağıLab for Innovative Drugs (Lab4IND), Computational Drug Design Center (HİTMER), Bahçeşehir University, 34746, İstanbul, Türkiye.ORCID http://orcid.org/0000-0002-0426-0905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ubiquitin-specific protease 7 (USP7) is a key deubiquitinating enzyme involved in tumor suppression, DNA repair, and epigenetic regulation. Given its critical role in cancer progression, USP7 has emerged as an attractive therapeutic target. Using similarity-based ligand screening, structurally related analogs of previously identified and validated hit compounds by our research group are selected and grid-based docking simulations are performed, prioritizing molecules with high binding affinity (docking scores < -8.0 kcal mol

Indexed as

Antineoplastic AgentsProtease InhibitorsUbiquitin-Specific Peptidase 7Ubiquitin ThiolesteraseHumansMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureQuantitative Structure-Activity RelationshipAntineoplastic AgentsProtease InhibitorsUbiquitin-Specific Peptidase 7Ubiquitin ThiolesteraseUSP7 protein, humandeubiquitinationmolecular dockingmolecular dynamicsQSAR modelingsteered MDtargeted cancer therapyubiquitin-specific protease 7

Identifiers

PMID40289327
PMCPMC12368476

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.