dc.creatorDaniel Goyzueta-Mamani, Luis
dc.creatorLuz Barazorda-Ccahuana, Haruna
dc.creatorMena-Ulecia, Karel
dc.creatorAngel Chavez-Fumagalli, Miguel
dc.date2021
dc.date2021-10-04T18:44:50Z
dc.date2021-10-04T18:44:50Z
dc.date.accessioned2022-10-18T14:52:46Z
dc.date.available2022-10-18T14:52:46Z
dc.identifierMOLECULES,Vol.26,,2021
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/4265
dc.identifier10.3390/molecules26133882
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4444221
dc.description(1) Background: The COVID-19 pandemic lacks treatments; for this reason, the search for potential compounds against therapeutic targets is still necessary. Bioinformatics tools have allowed the rapid in silico screening of possible new metabolite candidates from natural resources or repurposing known ones. Thus, in this work, we aimed to select phytochemical candidates from Peruvian plants with antiviral potential against three therapeutical targets of SARS-CoV-2. (2) Methods: We applied in silico technics, such as virtual screening, molecular docking, molecular dynamics simulation, and MM/GBSA estimation. (3) Results: Rutin, a compound present in Peruvian native plants, showed affinity against three targets of SARS-CoV-2. The molecular dynamics simulation demonstrated the high stability of receptor-ligand systems during the time of the simulation. Our results showed that the Mpro-Rutin system exhibited higher binding free energy than PLpro-Rutin and N-Rutin systems through MM/GBSA analysis. (4) Conclusions: Our study provides insight on natural metabolites from Peruvian plants with therapeutical potential. We found Rutin as a potential candidate with multiple pharmacological properties against SARS-CoV-2.
dc.languageen
dc.publisherMDPI
dc.sourceMOLECULES
dc.subjectin silico
dc.subjectnatural products
dc.subjectRutin
dc.subjectPeru
dc.subjectSARS-CoV-2
dc.subjectBioinformatics
dc.subjectdrug discovery
dc.titleAntiviral Activity of Metabolites from Peruvian Plants against SARS-CoV-2: An In Silico Approach
dc.typeArticle


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