Evidence map›Paper›PMID 40076203›Full record

ArticleMolecules (Basel, Switzerland)2025

Binding Mechanism of Inhibitors to CDK6 Deciphered by Multiple Independent Molecular Dynamics Simulations and Free Energy Predictions.

Lifei Wang, Yan Wang, Lulu Zhang, Juan Zhao, Shiliang Wu, Zhiyong Yang

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 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

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

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

6 authors.

Lifei WangSchool of Science, Shandong Jiaotong University, Jinan 250357, China.ORCID 0000-0002-0627-8877
Yan WangSchool of Science, Shandong Jiaotong University, Jinan 250357, China.
Lulu ZhangSchool of Science, Shandong Jiaotong University, Jinan 250357, China.
Juan ZhaoSchool of Science, Shandong Jiaotong University, Jinan 250357, China.
Shiliang WuSchool of Science, Shandong Jiaotong University, Jinan 250357, China.
Zhiyong YangDepartment of Physics, Jiangxi Agricultural University, Nanchang 330045, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclin-dependent kinase 6 (CDK6) has been identified as a potential drug target in various types of cancers. In our current study, multiple independent molecular dynamics simulations of four separate replicates and computations of binding free energies are carried out to decipher the binding mechanisms of three inhibitors, LQQ, 6ZV, and 0RS, to CDK6. The dynamic analyses indicate that the presence of inhibitors influences conformational alterations, motion modes, and the internal dynamics of CDK6. Binding free energies computed using the molecular mechanics generalized Born surface area (MM-GBSA) approach with four GB models demonstrate that hydrophobic interactions play essential roles in inhibitor-CDK6 binding. The computations of residue-based free energy decomposition verify that the side chains of residues I19, K29, M54, P55, F98, H100, and L152 significantly contribute to inhibitor-CDK6 binding, revealing the critical interaction sites of inhibitors for CDK6. The information revealed in our current study can provide theoretical aids for development of potent inhibitors targeting the CDK family.

Indexed as

Cyclin-Dependent Kinase 6Molecular Dynamics SimulationProtein Kinase InhibitorsBinding SitesHumansHydrophobic and Hydrophilic InteractionsMolecular Docking SimulationProtein BindingThermodynamicsCDK6 protein, humanCyclin-Dependent Kinase 6Protein Kinase Inhibitorscyclin-dependent kinase 6GB modelsMM-GBSAmultiple independent molecular dynamicsprincipal component analysis

Identifiers

PMID40076203
PMCPMC11901890

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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.