Cargando…
The Genomic Physics of COVID-19 Pathogenesis and Spread
Coronavirus disease (COVID-19) spreads mainly through close contact of infected persons, but the molecular mechanisms underlying its pathogenesis and transmission remain unknown. Here, we propose a statistical physics model to coalesce all molecular entities into a cohesive network in which the road...
Autores principales: | Dong, Ang, Zhao, Jinshuai, Griffin, Christopher, Wu, Rongling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750765/ https://www.ncbi.nlm.nih.gov/pubmed/35011641 http://dx.doi.org/10.3390/cells11010080 |
Ejemplares similares
-
Vaginal microbiota networks as a mechanistic predictor of aerobic vaginitis
por: Wang, Qian, et al.
Publicado: (2022) -
FunGraph: A statistical protocol to reconstruct omnigenic multilayer interactome networks for complex traits
por: Dong, Ang, et al.
Publicado: (2021) -
The metabolomic physics of complex diseases
por: Wu, Shuang, et al.
Publicado: (2023) -
Nonlinear dynamics for the spread of pathogenesis of COVID-19 pandemic
por: Sharma, Sunil Kumar, et al.
Publicado: (2021) -
A Single-Cell Omics Network Model of Cell Crosstalk during the Formation of Primordial Follicles
por: Wang, Qian, et al.
Publicado: (2022)