Evidence map›Paper›PMID 35167916›Full record

ArticleMethods (San Diego, Calif.)2022

Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations.

Michal Lazniewski, Doni Dermawan, Syahrul Hidayat, Muchtaridi Muchtaridi, Wayne K Dawson, Dariusz Plewczynski

Open access · hybridAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 32 citations in OpenAlex.

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  9. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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  18. Leukotrienes in Innate Immunity: Still Underappreciated after All These Years?Journal of immunology (Baltimore, Md. : 1950) · 2023
    Review
  19. Article
  20. 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 at 3 institutions in 2 countries.

Michal LazniewskiCentre for Advanced Materials and Technologies, Warsaw University of Technology, Warsaw, Poland. Electronic address: michal.lazniewski@pw.edu.pl.
Doni DermawanApplied Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Warsaw, Poland; Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia.
Syahrul HidayatDepartment of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia.
Muchtaridi MuchtaridiDepartment of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Indonesia.
Wayne K DawsonVeritas In Silico, 1-11-1 Nishigotanda, Shinagawa-ku, Tokyo 141-0031, Japan.
Dariusz PlewczynskiFaculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland; Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland. Electronic address: d.plewczynski@mini.pw.edu.pl.
Padjadjaran University · IDWarsaw University of Technology · PLUniversity of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the last two years, the COVID-19 pandemic has continued to bring consternation on most of the world. According to recent WHO estimates, there have been more than 5.6 million deaths worldwide. The virus continues to evolve all over the world, thus requiring both vigilance and the necessity to find and develop a variety of therapeutic treatments, including the identification of specific antiviral drugs. Multiple studies have confirmed that SARS-CoV-2 utilizes its membrane-bound spike protein to recognize human angiotensin-converting enzyme 2 (ACE2). Thus, preventing spike-ACE2 interactions is a potentially viable strategy for COVID-19 treatment as it would block the virus from binding and entering into a host cell. This work aims to identify potential drugs using an in silico approach. Molecular docking was carried out on both approved drugs and substances previously tested in vivo. This step was followed by a more detailed analysis of selected ligands by molecular dynamics simulations to identify the best molecules that thwart the ability of the virus to interact with the ACE2 receptor. Because the SARS-CoV-2 virus evolves rapidly due to a plethora of immunocompromised hosts, the compounds were tested against five different known lineages. As a result, we could identify substances that work well on individual lineages and those showing broader efficacy. The most promising candidates among the currently used drugs were zafirlukast and simeprevir with an average binding affinity of -22 kcal/mol for spike proteins originating from various lineages. The first compound is a leukotriene receptor antagonist that is used to treat asthma, while the latter is a protease inhibitor used for hepatitis C treatment. From among the in vivo tested substances that concurrently exhibit promising free energy of binding and ADME parameters (indicating a possible oral administration) we selected the compound BDBM50136234. In conclusion, these molecules are worth exploring further by in vitro and in vivo studies against SARS-CoV-2.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Angiotensin-Converting Enzyme 2Antiviral AgentsDrug RepositioningHumansMolecular Docking SimulationMolecular Dynamics SimulationPandemicsAngiotensin-Converting Enzyme 2Antiviral AgentsADMEDrug repurposingMolecular dockingMolecular dynamicsSARS‐CoV‐2

Identifiers

PMID35167916
PMCPMC8839799
OpenAlexW4211005103

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.