Cargando…
In silico identification of drug candidates against COVID-19
The COVID-19 pandemic has caused unprecedented health and economic crisis throughout the world. However, there is no effective medication or therapeutic strategy for treatment of this disease currently. Here, to elucidate the inhibitory effects, we first tested binding affinities of 11 HIV-1 proteas...
Autores principales: | Wu, Yifei, Chang, Kuan Y., Lou, Lei, Edwards, Lorette G., Doma, Bly K., Xie, Zhong-Ru |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574721/ https://www.ncbi.nlm.nih.gov/pubmed/33102688 http://dx.doi.org/10.1016/j.imu.2020.100461 |
Ejemplares similares
-
Identifying Drug Candidates for COVID-19 with Large-Scale Drug Screening
por: Wu, Yifei, et al.
Publicado: (2023) -
In Silico Discovery of Candidate Drugs against Covid-19
por: Cava, Claudia, et al.
Publicado: (2020) -
In Silico Identification of New Targets for Diagnosis, Vaccine, and Drug Candidates against Trypanosoma cruzi
por: Trevisan, Rafael Obata, et al.
Publicado: (2020) -
A Pilot Study of All-Computational Drug Design Protocol–From Structure Prediction to Interaction Analysis
por: Wu, Yifei, et al.
Publicado: (2020) -
Identification of Candidate Vaccine Antigens In Silico
por: Flower, Darren R., et al.
Publicado: (2012)