Evidence map›Paper›PMID 40703086›Full record

ArticleRSC advances2025

Investigating the binding mechanism of AML inhibitors based on panobinostat with HDAC3 proteins using Gaussian accelerated molecular dynamics.

Xia Yu, Hengzheng Yang, Baiji Xue, Tong Liu, Xue Zhang, Yang Xu, Xueliang Zhao, Xianwen Yue

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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.

Xia YuCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.ORCID https://orcid.org/0009-0009-2078-5902
Hengzheng YangKey Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Science, Jilin University 2699 Qianjin Street Changchun 130012 China.
Baiji XueCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.
Tong LiuCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.
Xue ZhangCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.
Yang XuCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.
Xueliang ZhaoCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.
Xianwen YueCollege of Pharmacy, Baicheng Medical College Baicheng 137000 China yux123@nenu.edu.cn afei3100@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Class I histone deacetylases (HDACs) play a crucial role in the transformation and survival of myeloid and lymphoid malignancies, with HDAC1, 2, and 3 (Class I HDACs) being potential molecular targets for acute myelogenous leukemia (AML) treatment. Among them, HDAC3 depletion or inhibition significantly reduces proliferation and promotes differentiation in leukemia, with inhibitors like Panobinostat and compound 13a showing promise in suppressing its activity. In this study, we utilized Gaussian accelerated molecular dynamics (GaMD) simulations to compare the inhibitory potency of 13a and Panobinostat against HDAC3. Our findings suggest that the superior inhibitory activity of 13a may be attributed to its stronger interactions with HDAC3. Distance analysis demonstrated that 13a maintains a closer and more consistent coordination with the zinc ion in the catalytic pocket, resulting in a more stable interaction compared to Panobinostat. Additionally, interaction analysis revealed that 13a forms more π-alkyl interactions, along with additional attractive charge and metal-acceptor interactions with HDAC3. Principal component analysis (PCA) further showed that the binding of 13a stabilizes HDAC3 in multiple distinct conformational states, suggesting that a more substantial conformational rearrangement is required upon 13a binding. This structural complexity may explain why 13a behaves as a slow-on/slow-off inhibitor and exhibits a superior IC

Identifiers

PMID40703086
PMCPMC12284631

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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.