Evidence map›Paper›PMID 41217569›Full record

ArticleMolecular diversity2026

Ligand-mediated conformation diversity of Hsp90 revealed by GaMD simulations and Markov model.

Huayin Bao, Jian Wang, Lu Zhao, Jianzhong Chen

Abstract read
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In one paragraph

Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

4 authors.

Huayin BaoSchool of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China. huayinbao@126.com.
Jian WangSchool of Science, Shandong Jiaotong University, Jinan, China.
Lu ZhaoSchool of Science, Shandong Jiaotong University, Jinan, China.
Jianzhong ChenSchool of Science, Shandong Jiaotong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conformational plasticity of Hsp90 is crucial for understanding its function and drug design. In this study, Gaussian accelerated molecular dynamics simulations followed by Markov model analysis were performed to investigate how the ligands D57, 9QY, and 2GJ affect the in- and out-states of the region between α41 and α42 in Hsp90. Our results showed that binding of these ligands reduces the number of conformational states, especially for 2GJ. Specifically, the conformational transition in Hsp90 bound by D57 in the in-state occurs more readily than that in Hsp90 bound by 9QY in the out-state Hsp90. Principal component analysis indicated that the impact of D57 on the conformational fluctuations of α41 in the in-state differs from the effects of 9QY and 2GJ on this helix in the out-state Hsp90. This difference can likely be explained by the variations in network communication caused by these ligands. Furthermore, our analysis of hot spots revealed that the different interactions of D57, 9QY, and 2GJ with residues L48, K58, D93, F183, and T184 are possibly responsible for their distinct conformational plasticity. We hope that this work can provide valuable theoretical insights for designing drugs targeting Hsp90.

Indexed as

HSP90 Heat-Shock ProteinsMolecular Dynamics SimulationLigandsMarkov ChainsProtein BindingProtein ConformationHSP90 Heat-Shock ProteinsLigandsConformational diversityCorrelation network analysisGaMD simulationHsp90Markov model

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Registered trials

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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.