Name
Title | ||
|---|---|---|
A scheme for inferring viral-host associations based on codon usage patterns identifies the most affected signaling pathways during COVID-19 |
Abstract | ||
|---|---|---|
•Used codon usage similarity to draw interaction between human and SARS-COV-2 proteins.•Proteins in 17 signaling pathways are investigated for possible SARS-COV-2 attack.•SARS-CoV-2 proteins mostly utilize codons, rare in majority of the host protein.•MAPK pathways were observed to be the worst affected during the COVID-19 disease.•Few potential drugs and targets were observed in the affected signaling pathways and reported. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jbi.2021.103801 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Protein interaction network,Codon usage bias,Bipartite graph,Cell signaling,Relative synonymous codon usage,Centrality,Drugs | Journal | 118 |
ISSN | Citations | PageRank |
1532-0464 | 1 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jayanta Kumar Das | 1 | 1 | 1.36 |
| Subhadip Chakraborty | 2 | 1 | 0.68 |
| Swarup Roy | 3 | 56 | 12.13 |