Evidence map›Paper›PMID 35771802›Full record

ArticlePloS one2022

Identification of repurposing therapeutics toward SARS-CoV-2 main protease by virtual screening.

Kamonpan Sanachai, Tuanjai Somboon, Patcharin Wilasluck, Peerapon Deetanya, Peter Wolschann, Thierry Langer, Vannajan Sanghiran Lee, Kittikhun Wangkanont, Thanyada Rungrotmongkol, Supot Hannongbua

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecules (Basel, Switzerland) · 2023
    Article
  6. A review onExploration of targeted anti-tumor therapy · 2023
    Review
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

10 authors.

Kamonpan SanachaiCenter of Excellence in Computational Chemistry (CECC), Department of Chemistry, Chulalongkorn University, Bangkok, Thailand.
Tuanjai SomboonCenter of Excellence in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand.
Patcharin WilasluckCenter of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand.
Peerapon DeetanyaCenter of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand.
Peter WolschannDepartment of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Thierry LangerDepartment of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
Vannajan Sanghiran LeeDepartment of Chemistry, University of Malaya, Kuala Lumpur, Malaysia.
Kittikhun WangkanontCenter of Excellence for Molecular Biology and Genomics of Shrimp, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand.
Thanyada RungrotmongkolCenter of Excellence in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Chulalongkorn University, Bangkok, Thailand.
Supot HannongbuaCenter of Excellence in Computational Chemistry (CECC), Department of Chemistry, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0001-9008-2748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 causes the current global pandemic coronavirus disease 2019. Widely-available effective drugs could be a critical factor in halting the pandemic. The main protease (3CLpro) plays a vital role in viral replication; therefore, it is of great interest to find inhibitors for this enzyme. We applied the combination of virtual screening based on molecular docking derived from the crystal structure of the peptidomimetic inhibitors (N3, 13b, and 11a), and experimental verification revealed FDA-approved drugs that could inhibit the 3CLpro of SARS-CoV-2. Three drugs were selected using the binding energy criteria and subsequently performed the 3CLpro inhibition by enzyme-based assay. In addition, six common drugs were also chosen to study the 3CLpro inhibition. Among these compounds, lapatinib showed high efficiency of 3CLpro inhibition (IC50 value of 35 ± 1 μM and Ki of 23 ± 1 μM). The binding behavior of lapatinib against 3CLpro was elucidated by molecular dynamics simulations. This drug could well bind with 3CLpro residues in the five subsites S1', S1, S2, S3, and S4. Moreover, lapatinib's key chemical pharmacophore features toward SAR-CoV-2 3CLpro shared important HBD and HBA with potent peptidomimetic inhibitors. The rational design of lapatinib was subsequently carried out using the obtained results. Our discovery provides an effective repurposed drug and its newly designed analogs to inhibit SARS-CoV-2 3CLpro.

Indexed as

COVID-19 Drug TreatmentPeptidomimeticsAntiviral AgentsCoronavirus 3C ProteasesCysteine EndopeptidasesDrug RepositioningHumansLapatinibMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsSARS-CoV-23C-like proteinase, SARS-CoV-2Antiviral AgentsCoronavirus 3C ProteasesCysteine EndopeptidasesLapatinibPeptidomimeticsProtease Inhibitors

Identifiers

PMID35771802
PMCPMC9246117

What OpenQuestion 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 OpenQuestion graph.