Author: Umar Faruq Chowdhury; Mohammad Umer Sharif Shohan; Kazi Injamamul Hoque; Mirza Ashikul Beg; Mohammad Ali Moni; Mohammad Kawsar Sharif Siam
Title: A Computational Approach to Design Potential siRNA Molecules as a Prospective Tool for Silencing Nucleocapsid Phosphoprotein and Surface Glycoprotein Gene of SARS-CoV-2 Document date: 2020_4_12
ID: exoc6xvt_16
Snippet: Computational methods can be employed to design and predict siRNA interaction against specific 298 gene target thereby silencing its expression. In this research, eight siRNA molecules were predicted 299 to be effective against nucleocapsid phosphoprotein and surface glycoprotein gene of 139 strains of 300 SARS-CoV-2 virus using computational method considering all maximum parameters in prime 301.....
Document: Computational methods can be employed to design and predict siRNA interaction against specific 298 gene target thereby silencing its expression. In this research, eight siRNA molecules were predicted 299 to be effective against nucleocapsid phosphoprotein and surface glycoprotein gene of 139 strains of 300 SARS-CoV-2 virus using computational method considering all maximum parameters in prime 301
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