Evidence map›Paper›PMID 32485894›Full record

ArticleMolecules (Basel, Switzerland)2020

In Silico Evaluation of the Effectivity of Approved Protease Inhibitors against the Main Protease of the Novel SARS-CoV-2 Virus.

Phaedra Eleftheriou, Dionysia Amanatidou, Anthi Petrou, Athina Geronikaki

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 72 citations in OpenAlex.

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  18. Network analytics for drug repurposing in COVID-19.Briefings in bioinformatics · 2022
    Article
  19. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  20. Dipyridamole and adenosinergic pathway in Covid-19: a juice or holy grail.The Egyptian journal of medical human genetics · 2022
    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

4 authors at 2 institutions in 1 country.

Phaedra EleftheriouDepartment of Biomedical Sciences, School of Health, International Hellenic University, 57400 Thessaloniki, Greece.
Dionysia AmanatidouDepartment of Biomedical Sciences, School of Health, International Hellenic University, 57400 Thessaloniki, Greece.
Anthi PetrouDepartment of Pharmaceutical Chemistry, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0001-8587-2710
Athina GeronikakiDepartment of Pharmaceutical Chemistry, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0000-0001-9894-7777
Aristotle University of Thessaloniki · GRInternational Hellenic University · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease, COVID-19, caused by the novel coronavirus SARS-CoV-2, which first emerged in Wuhan, China and was made known to the World in December 2019 turned into a pandemic causing more than 126,124 deaths worldwide up to April 16th, 2020. It has 79.5% sequence identity with SARS-CoV-1 and the same strategy for host cell invasion through the ACE-2 surface protein. Since the development of novel drugs is a long-lasting process, researchers look for effective substances among drugs already approved or developed for other purposes. The 3D structure of the SARS-CoV-2 main protease was compared with the 3D structures of seven proteases, which are drug targets, and docking analysis to the SARS-CoV-2 protease structure of thirty four approved and on-trial protease inhibitors was performed. Increased 3D structural similarity between the SARS-CoV-2 main protease, the HCV protease and α-thrombin was found. According to docking analysis the most promising results were found for HCV protease, DPP-4, α-thrombin and coagulation Factor Xa known inhibitors, with several of them exhibiting estimated free binding energy lower than -8.00 kcal/mol and better prediction results than reference compounds. Since some of the compounds are well-tolerated drugs, the promising in silico results may warrant further evaluation for viral anticipation. DPP-4 inhibitors with anti-viral action may be more useful for infected patients with diabetes, while anti-coagulant treatment is proposed in severe SARS-CoV-2 induced pneumonia.

Indexed as

Amino Acid SequenceAnticoagulantsAntiviral AgentsBetacoronavirusBinding SitesCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesDipeptidyl Peptidase 4Dipeptidyl-Peptidase IV InhibitorsFactor XaHepacivirusHumansMolecular Docking SimulationPandemicsAnticoagulantsAntiviral AgentsCoronavirus 3C ProteasesCysteine EndopeptidasesDipeptidyl Peptidase 4Dipeptidyl-Peptidase IV InhibitorsDPP4 protein, humanFactor XaProtease InhibitorsThrombinViral Nonstructural Proteinsa-thrombin inhibitorscoronavirusdockingDPP-4 inhibitorsHCV protease inhibitorsprotease inhibitorsSARS-CoV-2

Identifiers

PMID32485894
PMCPMC7321236
OpenAlexW3028745857

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.