Evidence map›Paper›PMID 40430266›Full record

ArticleMolecules (Basel, Switzerland)2025

Discovery, Biological Evaluation and Binding Mode Investigation of Novel Butyrylcholinesterase Inhibitors Through Hybrid Virtual Screening.

Lizi Li, Puchen Zhao, Can Yang, Qin Yin, Na Wang, Yan Liu, Yanfang Li

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Ozone-Assisted Green Upgrading ofFoods (Basel, Switzerland) · 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

7 authors.

Lizi LiSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-7218-0915
Puchen ZhaoSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Can YangSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Qin YinSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Na WangSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Yan LiuSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Yanfang LiSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Butyrylcholinesterase (BChE), plays a critical role in alleviating the symptoms of Alzheimer's disease (AD) by regulating acetylcholine levels, emerging as an attractive target for AD treatment. This study employed a quantitative structure-activity relationship (QSAR) model based on ECFP4 molecular fingerprints with several machine learning algorithms (XGBoost, RF, SVM, KNN), among which the XGBoost model showed the best performance (AUC = 0.9740). A hybrid strategy integrating ligand- and structure-based virtual screening identified 12 hits from the Topscience core database, three of which were identified for the first time. Among them, piboserod and Rotigotine demonstrated the best BChE inhibitory potency (IC

Indexed as

ButyrylcholinesteraseCholinesterase InhibitorsDrug DiscoveryAlzheimer DiseaseDrug Evaluation, PreclinicalHumansLigandsMachine LearningMolecular Docking SimulationMolecular Dynamics SimulationNeuroprotective AgentsProtein BindingQuantitative Structure-Activity RelationshipButyrylcholinesteraseCholinesterase InhibitorsLigandsNeuroprotective Agentsbinding mode analysisbiological evaluationbutyrylcholinesterase inhibitorsmachine learningmolecular dockingmolecule dynamics simulationsvirtual screening

Identifiers

PMID40430266
PMCPMC12113681

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.