Evidence map›Paper›PMID 33084512›Full record

ArticleJournal of biomolecular structure & dynamics2022

Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations.

Francisco Mosquera-Yuqui, Nicolas Lopez-Guerra, Eduardo A Moncayo-Palacio

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.9field-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

28 citing papers in PubMed, 76 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Francisco Mosquera-YuquiDepartamento de Ciencias de La Vida y La Agricultura, Universidad de Las Fuerzas Armadas-ESPE, Sangolquí, Ecuador.
Nicolas Lopez-GuerraGrupo de Investigación y Desarrollo de la Biotecnología BioSin-Biociencias, Quito, Ecuador.
Eduardo A Moncayo-PalacioGrupo de Investigación y Desarrollo de la Biotecnología BioSin-Biociencias, Quito, Ecuador.
Escuela Politécnica del Ejército · ECOklahoma State University · USUniversidad Técnica Particular de Loja · EC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the highly contagious nature of SARS-CoV-2, it has resulted in an unprecedented number of COVID-19 infected and dead people worldwide. Since there is currently no vaccine available in the market, the identification of potential drugs is urgently needed to control the pandemic. In this study, 92 phytochemicals from medicinal plants growing in the Andean region were screened against SARS-CoV-2 3 C-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) in their active sites through molecular docking. The cutoff values were set from the lowest docking scores of the FDA-approved drugs that are being used to treat COVID-19 patients (remdesivir, lopinavir, and ritonavir). Compounds with docking scores that were lower than cutoff values were validated by molecular dynamics simulation with GROMACS, using root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and intermolecular hydrogen bonds (H-bonds). Furthermore, binding free energies were estimated using the MM-PBSA method, and ADMET profiles of potential inhibitors were assessed. Computational analyses revealed that the interaction with hesperidin (theoretical binding energies, ΔG

Indexed as

COVID-19 Drug TreatmentPlants, MedicinalHumansMolecular Docking SimulationMolecular Dynamics SimulationPhytochemicalsRNA-Dependent RNA PolymeraseSARS-CoV-2PhytochemicalsRNA-Dependent RNA PolymeraseADMETMM-PBSAmolecular dockingmolecular dynamicsSARS-CoV-2

Identifiers

PMID33084512
PMCPMC7657401
OpenAlexW3094065652

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.