Cargando…
Recognition of Potential COVID-19 Drug Treatments through the Study of Existing Protein–Drug and Protein–Protein Structures: An Analysis of Kinetically Active Residues
We report the results of our in silico study of approved drugs as potential treatments for COVID-19. The study is based on the analysis of normal modes of proteins. The drugs studied include chloroquine, ivermectin, remdesivir, sofosbuvir, boceprevir, and α-difluoromethylornithine (DMFO). We applied...
Autor principal: | Perišić, Ognjen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7565175/ https://www.ncbi.nlm.nih.gov/pubmed/32967116 http://dx.doi.org/10.3390/biom10091346 |
Ejemplares similares
-
Heterodimer Binding Scaffolds Recognition via the Analysis of Kinetically Hot Residues
por: Perišić, Ognjen
Publicado: (2018) -
Mechanism for the Unfolding of the TOP7 Protein in Steered Molecular Dynamics Simulations as Revealed by Mutual Information Analysis
por: Perišić, Ognjen, et al.
Publicado: (2021) -
Exploring existing drugs: proposing potential compounds in the treatment of COVID-19
por: Kabir, Eva Rahman, et al.
Publicado: (2021) -
SAR by kinetics for drug discovery in protein misfolding diseases
por: Chia, Sean, et al.
Publicado: (2018) -
Protein microarray: sensitive and effective immunodetection for drug residues
por: Zhong, Li, et al.
Publicado: (2010)