Evidence map›Paper›PMID 38835125›Full record

ArticleCurrent pharmaceutical design2024

Discovery of an EP300 Inhibitor using Structure-based Virtual Screening and Bioactivity Evaluation.

Dabo Pan, Yaxuan Huang, Dewen Jiang, Yonghao Zhang, Mingkai Wu, Minzhen Han, Xiaojie Jin

Abstract read
In one paragraph

Article in Current pharmaceutical design, 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

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

4 citing papers in PubMed.

  1. Discovery of Two GSK3β Inhibitors fromCurrent computer-aided drug design · 2026
    Article
  2. Article
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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.

Dabo PanDepartment of Medical Technology, Qiandongnan Vocational and Technical College for Nationalities, Kaili 556000, China.
Yaxuan HuangDepartment of Medical Technology, Qiandongnan Vocational and Technical College for Nationalities, Kaili 556000, China.
Dewen JiangDepartment of Medical Technology, Qiandongnan Vocational and Technical College for Nationalities, Kaili 556000, China.
Yonghao ZhangDepartment of Medical Technology, Qiandongnan Vocational and Technical College for Nationalities, Kaili 556000, China.
Mingkai WuDepartment of Medical Technology, Qiandongnan Vocational and Technical College for Nationalities, Kaili 556000, China.
Minzhen HanDepartment of Pharmacy, The Second Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Kaili 556000, China.
Xiaojie JinCollege of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China.

Funding

Department of Education of Guizhou Province (QJJ[2023]099)National Natural Science Foundation of China 81803347Natural Science Foundation of Guizhou Province (QQCC[2022]201708).,QKHZC[2020]4Y087 and QKHZC[2020]YB289
6 · The paper itself

Abstract

backgroundEP300 (E1A binding protein p300) played a significant role in serial diseases such as cancer, neurodegenerative disease. Therefore, it became a significant target.

methodsTargeting EP300 discovery of a novel drug to alleviate these diseases. In this paper, 17 candidate compounds were obtained using a structure-based virtual screening approach, 4449-0460, with an IC

resultsFurthermore, the interaction mechanism between 4449-0460 and EP300 was explored by combining molecular dynamics (MD) simulations and binding free energy calculation methods.

conclusionThe binding free energy of EP300 with 4449-0460 was -10.93 kcal/mol, and mainly came from the nonpolar energy term (ΔG

Indexed as

Drug DiscoveryE1A-Associated p300 ProteinMolecular Dynamics SimulationDose-Response Relationship, DrugDrug Evaluation, PreclinicalHumansMolecular StructureStructure-Activity RelationshipE1A-Associated p300 ProteinEP300 protein, humanbinding free energy calculationEP300inhibitormolecular dynamics simulationsneurodegenerative disease.structure-based virtual screening

Identifiers

PMID38835125
PMCPMC11348464

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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.