Evidence map›Paper›PMID 40733228›Full record

ArticleMolecules (Basel, Switzerland)2025

Insights into Binding Mechanisms of Potential Inhibitors Targeting PCSK9 Protein via Molecular Dynamics Simulation and Free Energy Calculation.

Xingyu Wu, Xi Zhu, Min Fang, Fenghua Qi, Zhixiang Yin, John Z H Zhang, Shihua Luo, Tong Zhu, Ya Gao

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xingyu WuSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.
Xi ZhuSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.
Min FangSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.
Fenghua QiSchool of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China.
Zhixiang YinSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0000-0001-8064-0179
John Z H ZhangFaculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen 518107, China.ORCID 0000-0003-4612-1863
Shihua LuoDepartment of Traumatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Tong ZhuNYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China.
Ya GaoSchool of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.

Funding

National Key R&D Program of China No.2023YFF1204903National Natural Science Foundation of China No.22373065 and No.62072296
6 · The paper itself

Abstract

The design of small-molecule inhibitors targeting proprotein convertase subtilisin/Kein type 9 (PCSK9) remains a forefront challenge in combating atherosclerosis. While various monoclonal antibodies have achieved clinical success, small-molecule inhibitors are hindered by the unique structural features of the PCSK9 binding interface. In this study, a potential small-molecule inhibitor was identified through virtual screening, followed by molecular dynamics (MD) simulations to explore the binding mechanisms between the inhibitor and the PCSK9 protein. Binding free energies were calculated using molecular mechanics/Generalized Born surface area (MM/GBSA) with the interaction entropy (IE) method, and critical hot-spot residues were identified via alanine scanning analysis. Key residues, including ARG237, ILE369, ARG194 and PHE379, were revealed to form critical interactions with inhibitor and play dominant roles during the inhibitor's binding. In addition, the polarization effect was shown to significantly influence PCSK9-ligand binding. The identified inhibitor exhibited highly similar binding patterns with two known active compounds, providing valuable insights for the rational design and optimization of small-molecule inhibitors targeting PCSK9. This work contributes to the development of more effective treatments for hyperlipidemia and associated cardiovascular diseases.

Indexed as

Molecular Dynamics SimulationPCSK9 InhibitorsProprotein Convertase 9Binding SitesHumansLigandsMolecular Docking SimulationProtein BindingSmall Molecule LibrariesThermodynamicsLigandsPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9Small Molecule Librariesbinding free energy calculationmolecular dynamics simulationPCSK9 proteinsmall-molecule inhibitorvirtual screening

Identifiers

PMID40733228
PMCPMC12298945

What Socratic 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 Socratic graph.