Evidence map›Paper›PMID 36998674›Full record

ArticleComputational and structural biotechnology journal2023

Identifying promising druggable binding sites and their flexibility to target the receptor-binding domain of SARS-CoV-2 spike protein.

M Ghoula, S Naceri, S Sitruk, D Flatters, G Moroy, A C Camproux

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 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
2.7field-weighted citation impact, top 10% 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, 14 citations in OpenAlex.

  1. Article
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  4. Eigenvalue Ratios Reveal Shared Binding Pocket Shapes in RNA and Protein Structures.Computational and structural biotechnology journal · 2026
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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

6 authors at 1 institution in 1 country.

M GhoulaUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
S NaceriUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
S SitrukUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
D FlattersUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
G MoroyUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
A C CamprouxUniversité Paris Cité, CNRS, INSERM, Unité de Biologie Fonctionnelle et Adaptative, F-75013 Paris, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is crucial for viral infection. The interaction of its receptor-binding domain (RBD) with the human angiotensin-converting enzyme 2 (ACE2) protein is required for the virus to enter the host cell. We identified RBD binding sites to block its function with inhibitors by combining the protein structural flexibility with machine learning analysis. Molecular dynamics simulations were performed on unbound or ACE2-bound RBD conformations. Pockets estimation, tracking and druggability prediction were performed on a large sample of simulated RBD conformations. Recurrent druggable binding sites and their key residues were identified by clustering pockets based on their residue similarity. This protocol successfully identified three druggable sites and their key residues, aiming to target with inhibitors for preventing ACE2 interaction. One site features key residues for direct ACE2 interaction, highlighted using energetic computations, but can be affected by several mutations of the variants of concern. Two highly druggable sites, located between the spike protein monomers interface are promising. One weakly impacted by only one Omicron mutation, could contribute to stabilizing the spike protein in its closed state. The other, currently not affected by mutations, could avoid the activation of the spike protein trimer.

Indexed as

Binding site flexibilityCOVID-19 variantsDruggable binding sitesHot spot residuesKey-residuesMolecular dynamics simulationPocket trackingSARS-CoV-2Spike proteinStructural flexibility

Identifiers

PMID36998674
PMCPMC10023212
OpenAlexW4327692987

What OpenQuestion holds

Textmetadata
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.