Evidence map›Paper›PMID 36857133›Full record

ReviewJournal of medicinal chemistry2023

Antitarget, Anti-SARS-CoV-2 Leads, Drugs, and the Drug Discovery-Genetics Alliance Perspective.

Cecilia Pozzi, Anne Vanet, Valeria Francesconi, Lorenzo Tagliazucchi, Giusy Tassone, Alberto Venturelli, Francesca Spyrakis, Marco Mazzorana, Maria P Costi, Michele Tonelli

Open access · hybridFull text readReview
In one paragraph

Review in Journal of medicinal chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.6field-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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Aprotinin-Drug against Respiratory Diseases.International journal of molecular sciences · 2023
    Review
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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 at 6 institutions in 3 countries.

Cecilia PozziDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, via Aldo Moro 2, 53100 Siena, Italy.ORCID 0000-0003-2574-3911
Anne VanetUniversité Paris Cité, CNRS, Institut Jacques Monod, F-75013 Paris, France.
Valeria FrancesconiDepartment of Pharmacy, University of Genoa, viale Benedetto XV n.3, 16132 Genoa, Italy.
Lorenzo TagliazucchiDepartment of Life Science, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.ORCID 0000-0002-7244-7106
Giusy TassoneDepartment of Biotechnology, Chemistry and Pharmacy, University of Siena, via Aldo Moro 2, 53100 Siena, Italy.ORCID 0000-0002-2575-5528
Alberto VenturelliDepartment of Life Science, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.
Francesca SpyrakisDepartment of Drug Science and Technology, University of Turin, Via Giuria 9, 10125 Turin, Italy.ORCID 0000-0002-4016-227X
Marco MazzoranaDiamond Light Source, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0DE, U.K.
Maria P CostiDepartment of Life Science, University of Modena and Reggio Emilia, via Campi 103, 41125 Modena, Italy.ORCID 0000-0002-0443-5402
Michele TonelliDepartment of Pharmacy, University of Genoa, viale Benedetto XV n.3, 16132 Genoa, Italy.ORCID 0000-0003-1518-2890
University of Modena and Reggio Emilia · ITUniversity of Genoa · ITUniversity of Siena · ITCentre National de la Recherche Scientifique · FRDiamond Light Source · GBUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most advanced antiviral molecules addressing major SARS-CoV-2 targets (Main protease, Spike protein, and RNA polymerase), compared with proteins of other human pathogenic coronaviruses, may have a short-lasting clinical efficacy. Accumulating knowledge on the mechanisms underlying the target structural basis, its mutational progression, and the related biological significance to virus replication allows envisaging the development of better-targeted therapies in the context of COVID-19 epidemic and future coronavirus outbreaks. The identification of evolutionary patterns based solely on sequence information analysis for those targets can provide meaningful insights into the molecular basis of host-pathogen interactions and adaptation, leading to drug resistance phenomena. Herein, we will explore how the study of observed and predicted mutations may offer valuable suggestions for the application of the so-called "synthetic lethal" strategy to SARS-CoV-2 Main protease and Spike protein. The synergy between genetics evidence and drug discovery may prioritize the development of novel long-lasting antiviral agents.

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsDrug DiscoveryHumansSpike Glycoprotein, CoronavirusAntiviral AgentsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID36857133
PMCPMC10005815
OpenAlexW4322719792

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read68
identifiers read9
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.