Cargando…
Comparing protein–protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features
SARS-CoV-2 pandemic first emerged in late 2019 in China. It has since infected more than 298 million individuals and caused over 5 million deaths globally. The identification of essential proteins in a protein–protein interaction network (PPIN) is not only crucial in understanding the process of cel...
Autores principales: | Khojasteh, Hakimeh, Khanteymoori, Alireza, Olyaee, Mohammad Hossein |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988119/ https://www.ncbi.nlm.nih.gov/pubmed/35393450 http://dx.doi.org/10.1038/s41598-022-08574-6 |
Ejemplares similares
-
RCOVID19: Recurrence-based SARS-CoV-2 features using chaos game representation
por: Olyaee, Mohammad Hossein, et al.
Publicado: (2020) -
Application of Chaotic Laws to Improve Haplotype Assembly Using Chaos Game Representation
por: Olyaee, Mohammad Hossein, et al.
Publicado: (2019) -
A chaotic viewpoint-based approach to solve haplotype assembly using hypergraph model
por: Olyaee, Mohammad Hossein, et al.
Publicado: (2020) -
NCMHap: a novel method for haplotype reconstruction based on Neutrosophic c-means clustering
por: Zamani, Fatemeh, et al.
Publicado: (2020) -
Topological N-glycosylation and site-specific N-glycan sulfation of influenza proteins in the highly expressed H1N1 candidate vaccines
por: She, Yi-Min, et al.
Publicado: (2017)