Cargando…
An Ensemble Matrix Completion Model for Predicting Potential Drugs Against SARS-CoV-2
Because of the catastrophic outbreak of global coronavirus disease 2019 (COVID-19) and its strong infectivity and possible persistence, computational repurposing of existing approved drugs will be a promising strategy that facilitates rapid clinical treatment decisions and provides reasonable justif...
Autores principales: | Li, Wen, Wang, Shulin, Xu, Junlin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8334363/ https://www.ncbi.nlm.nih.gov/pubmed/34367094 http://dx.doi.org/10.3389/fmicb.2021.694534 |
Ejemplares similares
-
Molecular Docking Reveals Ivermectin and Remdesivir as Potential Repurposed Drugs Against SARS-CoV-2
por: Eweas, Ahmad F., et al.
Publicado: (2021) -
Potential of Bacillus subtilis Against SARS-CoV-2 – A Sustainable Drug Development Perspective
por: Khodavirdipour, Amir, et al.
Publicado: (2022) -
Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization
por: Wang, Yibai, et al.
Publicado: (2022) -
Antivirals Against Coronaviruses: Candidate Drugs for SARS-CoV-2 Treatment?
por: Santos, Igor de Andrade, et al.
Publicado: (2020) -
Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures
por: Peng, Lihong, et al.
Publicado: (2021)