Evidence map›Paper›PMID 38888748›Full record

ArticleJournal of molecular modeling2024

The Malaria Box molecules: a source for targeting the RBD and NTD cryptic pocket of the spike glycoprotein in SARS-CoV-2.

Kewin Otazu, Gustavo E Olivos-Ramirez, Pablo D Fernández-Silva, Julissa Vilca-Quispe, Karolyn Vega-Chozo, Gabriel M Jimenez-Avalos, Manuel E Chenet-Zuta, Frida E Sosa-Amay, Reyna G Cárdenas Cárdenas, Georcki Ropón-Palacios and 2 more

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Article in Journal of molecular modeling, 2024. 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
–field-weighted citation impact
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.

  1. 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

12 authors.

Kewin OtazuLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil.
Gustavo E Olivos-RamirezLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil.
Pablo D Fernández-SilvaLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil.
Julissa Vilca-QuispeLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil.
Karolyn Vega-ChozoLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil.
Gabriel M Jimenez-AvalosFacultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Manuel E Chenet-ZutaUniversidad Nacional Tecnológica de Lima Sur UNTELS, Lima, Perú.
Frida E Sosa-AmayLaboratorio de Farmacología y Toxicología, Facultad de Farmacia y Bioquímica, Universidad Nacional de la Amazonía Peruana, Iquitos, Perú.
Reyna G Cárdenas CárdenasUniversidad Nacional de la Amazonía Peruana, Iquitos, Perú.
Georcki Ropón-PalaciosLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil. georcki@hpqc.org.
Nike DattaniHPQC College, Waterloo, Canada. nike@hpqc.org.
Ihosvany CampsLaboratório de Modelagem Computacional - LaModel, Instituto de Ciências Exatas - ICEx, Universidade Federal de Alfenas-UNIFAL-MG, Alfenas, Minas Gerais, Brazil. icamps@unifal-mg.edu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextSARS-CoV-2, responsible for COVID-19, has led to over 500 million infections and more than 6 million deaths globally. There have been limited effective treatments available. The study aims to find a drug that can prevent the virus from entering host cells by targeting specific sites on the virus's spike protein.

methodWe examined 13,397 compounds from the Malaria Box library against two specific sites on the spike protein: the receptor-binding domain (RBD) and a predicted cryptic pocket. Using virtual screening, molecular docking, molecular dynamics, and MMPBSA techniques, they evaluated the stability of two compounds. TCMDC-124223 showed high stability and binding energy in the RBD, while TCMDC-133766 had better binding energy in the cryptic pocket. The study also identified that the interacting residues are conserved, which is crucial for addressing various virus variants. The findings provide insights into the potential of small molecules as drugs against the spike protein.

Indexed as

Antiviral AgentsMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Spike Glycoprotein, CoronavirusBinding SitesCOVID-19COVID-19 Drug TreatmentHumansProtein BindingProtein DomainsSmall Molecule LibrariesAntiviral AgentsSmall Molecule LibrariesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Cryptic pocketMMPBSAMolecular dockingSARS-CoV-2Spike protein

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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.