Evidence map›Paper›PMID 35336838›Full record

ArticleBiology2022

In Silico Multi-Target Approach Revealed Potential Lead Compounds as Scaffold for the Synthesis of Chemical Analogues Targeting SARS-CoV-2.

Alfonso Trezza, Claudia Mugnaini, Federico Corelli, Annalisa Santucci, Ottavia Spiga

Open access · goldAbstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Alfonso TrezzaDepartment of Biotechnology, Chemistry and Pharmacy (Department of Excellence 2018-2022), University of Siena, 53100 Siena, Italy.
Claudia MugnainiDepartment of Biotechnology, Chemistry and Pharmacy (Department of Excellence 2018-2022), University of Siena, 53100 Siena, Italy.
Federico CorelliDepartment of Biotechnology, Chemistry and Pharmacy (Department of Excellence 2018-2022), University of Siena, 53100 Siena, Italy.
Annalisa SantucciDepartment of Biotechnology, Chemistry and Pharmacy (Department of Excellence 2018-2022), University of Siena, 53100 Siena, Italy.ORCID 0000-0001-6976-9086
Ottavia SpigaDepartment of Biotechnology, Chemistry and Pharmacy (Department of Excellence 2018-2022), University of Siena, 53100 Siena, Italy.
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), an infectious disease that spreads rapidly in humans. In March 2020, the World Health Organization (WHO) declared a COVID-19 pandemic. Identifying a multi-target-directed ligand approach would open up new opportunities for drug discovery to combat COVID-19. The aim of this work was to perform a virtual screening of an exclusive chemical library of about 1700 molecules containing both pharmacologically active compounds and synthetic intermediates to propose potential protein inhibitors for use against SARS-CoV-2. In silico analysis showed that our compounds triggered an interaction network with key residues of the SARS-CoV-2 spike protein (S-protein), blocking trimer formation and interaction with the human receptor hACE2, as well as with the main 3C-like protease (3CLpro), inhibiting their biological function. Our data may represent a step forward in the search for potential new chemotherapeutic agents for the treatment of COVID-19.

Indexed as

3CLproCOVID-19docking simulationhomology modelingmolecular dynamics simulationmulti-target inhibitorsSARS-CoV-2 spike protein

Identifiers

PMID35336838
PMCPMC8945274
OpenAlexW4220775461

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.