Evidence map›Paper›PMID 38591205›Full record

ArticleCurrent computer-aided drug design2025

Molecular Dynamics Simulation of SARS-CoV-2 E Ion Channel: The Study of Lone Protein and its Conformational Changes in Complex with Potential Cage Inhibitors.

Vadim Andreevich Shiryaev, Elena Alexandrovna Ivleva, Maria Sergeevna Zaborskaya, Ilya Michailovich Tkachenko, Vitaly Alexandrovich Osyanin, Yuri Nikolaevich Klimochkin

Abstract read
PubMed Publisher
In one paragraph

Article in Current computer-aided drug design, 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

6 authors.

Vadim Andreevich ShiryaevDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0002-6710-0722
Elena Alexandrovna IvlevaDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0001-5778-860X
Maria Sergeevna ZaborskayaDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0002-3358-7261
Ilya Michailovich TkachenkoDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0002-0386-4184
Vitaly Alexandrovich OsyaninDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0001-5482-3940
Yuri Nikolaevich KlimochkinDepartment of Organic Chemistry, Faculty of Chemical Technology, Samara State Technical University, 443100, Samara, Russia.ORCID 0000-0002-7335-4040

Funding

Ministry of Science and Higher Education of the Russian Federation FSSE-2023-0003Russian Science Foundation 21-73-20103
6 · The paper itself

Abstract

backgroundThe coronavirus E ion channel has previously been studied as a potential target for antiviral therapy, with several compounds found to bind to the channel. Since, these compounds have low activity, searching for effective E ion channel inhibitors of great importance.

objectiveThis study aimed to develop a computational approach for designing ligands for the coronaviral E ion channel and identify potential inhibitors based on this approach.

methodsThe structure of the E-ion channel was refined using molecular dynamics, and the pore responsible for binding cage compounds was selected as the inhibitor-binding site. Potential inhibitor structures were identified using molecular docking, and their binding was confirmed using molecular dynamics simulations.

resultsA number of potential SARS E ion channel inhibitors have been identified, and the binding modes and possible mechanisms of action of these inhibitors have been clarified.

conclusionThis study presents a computational approach that can be used to design ligands for E ion channels and identify potential inhibitors, providing valuable insights into the development of new antiviral therapies. The behavior of the E protein pentamer of SARS-CoV-2 in its native environment was investigated using Molecular Dynamics (MD), resulting in an equilibrated structure that could be used to develop new inhibitors through molecular docking. Simulation of the MD of E-channel complexes with amantadine analogues allowed for the identification of the main types of ligand-protein interactions that are responsible for the good binding of ligands within the channel's inner chamber.

Indexed as

Antiviral AgentsCoronavirus Envelope ProteinsMolecular Dynamics SimulationSARS-CoV-2Binding SitesCOVID-19COVID-19 Drug TreatmentDrug DesignHumansIon ChannelsLigandsMolecular Docking SimulationProtein BindingProtein ConformationAntiviral AgentsCoronavirus Envelope Proteinsenvelope protein, SARS-CoV-2Ion ChannelsLigandsadamantanes.cage compoundsCoronavirusE ion channelmolecular dockingmolecular dynamics

Identifiers

PMID38591205

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.