Cargando…
Bioinformatics analysis of SARS-CoV-2 infection-associated immune injury and therapeutic prediction for COVID-19
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 is a highly contagious viral infection, without any available targeted therapies. The high mortality rate of COVID-19 is speculated to be related to immune damage. METHODS: In this study, clinical bioinformatics analysis was conducted on tr...
Autores principales: | Zhang, Haomin, Chen, Haoran, Zhang, Jundong, Chen, Ximeng, Guo, Bin, Zhi, Peng, Li, Zhuoyang, Liu, Geliang, Yang, Bo, Chi, Xiaohua, Wang, Yixing, Cao, Feng, Ren, Jun, Lu, Xuechun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447736/ http://dx.doi.org/10.1097/EC9.0000000000000005 |
Ejemplares similares
-
Identification of Six Prognostic Genes in EGFR–Mutant Lung Adenocarcinoma Using Structure Network Algorithms
por: Zhang, Haomin, et al.
Publicado: (2021) -
Immune and Inflammation in Acute Coronary Syndrome: Molecular Mechanisms and Therapeutic Implications
por: Wang, Haiming, et al.
Publicado: (2020) -
Phylogenomics and bioinformatics of SARS-CoV
por: Liò, Pietro, et al.
Publicado: (2004) -
The impact of structural bioinformatics tools and resources on SARS-CoV-2 research and therapeutic strategies
por: Waman, Vaishali P, et al.
Publicado: (2020) -
Bioinformatics approach to identify the influences of SARS-COV2 infections on atherosclerosis
por: Zhang, Jiuchang, et al.
Publicado: (2022)