Evidence map›Paper›PMID 42799104›Full record

ArticleACS omega2026

Structure- and Dynamics-Driven Discovery of Small Molecule Inhibitors Targeting a Conserved Pocket near the Fusion Peptide in the Prefusion SARS-CoV‑2 S2 Glycoprotein Subunit.

Marco Leusciatti, Silvia Rinaldi, Rosaria Arvia, Andrea Catte, Giulia Morra, Simone Giannecchini

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marco LeusciattiNational Research Council (CNR), Department of Chemical Sciences and Materials Technologies, Giulio Natta Institute of Chemical Sciences and Technologies (CNR-SCITEC), Via Mario Bianco, 9, Milan, Milano 20131, Italy.ORCID https://orcid.org/0000-0002-6527-2571
Silvia RinaldiNational Research Council (CNR), Department of Chemical Sciences and Materials Technologies, Institute of Chemistry of Organometallic Compounds (CNR-ICCOM), Via Madonna del Piano, 10, Sesto Fiorentino, Firenze 50019, Italy.ORCID https://orcid.org/0000-0002-1088-7253
Rosaria ArviaDepartment of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy.
Andrea CatteNational Research Council (CNR), Department of Chemical Sciences and Materials Technologies, Institute of Chemistry of Organometallic Compounds (CNR-ICCOM), Via Madonna del Piano, 10, Sesto Fiorentino, Firenze 50019, Italy.ORCID https://orcid.org/0000-0002-1124-1788
Giulia MorraNational Research Council (CNR), Department of Chemical Sciences and Materials Technologies, Giulio Natta Institute of Chemical Sciences and Technologies (CNR-SCITEC), Via Mario Bianco, 9, Milan, Milano 20131, Italy.ORCID https://orcid.org/0000-0002-9681-7845
Simone GiannecchiniDepartment of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy.ORCID https://orcid.org/0000-0003-3374-7621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has challenged the durability of vaccine-mediated protection, reinforcing the need for broad-spectrum antiviral agents. Herein, we performed a structure- and dynamics-driven virtual screening to identify novel small-molecule inhibitors of SARS-CoV-2 cell entry by targeting a conserved pocket within the S2 subunit of the spike glycoprotein domain. Extensive molecular dynamics simulations of the S2 domain revealed a druggable binding pocket close to the fusion peptide site. Consensus pharmacophore-guided virtual screening of ∼900,000 compounds yielded 11 candidates selected for biological evaluation. The selected compounds reduced SARS-CoV-2 infection in vitro at nanomolar concentrations against different variants with an increased selectivity index. Moreover, viral-cell entry and mechanistic experiments support the selective inhibition of the early steps of viral fusion. Finally, in silico evolutionary analyses showed good conservation of the pharmacophore region among different SARS-related coronaviruses. Our results provide a basis for further optimization studies on novel antifusion SARS-CoV-2 inhibitors with potential cross-clade antiviral activity.

Identifiers

PMID42799104
PMCPMC13613865

What OpenQuestion holds

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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.