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In Silico Approach for Peptide Vaccine Design for CoVID 19
* 1 , * 2 , * 3 , * 4 , * 4, 5 , * 4 , * 6
1  Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal, India
2  Department of Microbiology, St. Xavier's College, Kolkata, West Bengal, India
3  Department of Computer Science Engineering, Government College of Engineering and Leather Technology, Serampore, West Bengal, India
4  Centre for Interdisciplinary Research and Education, Kolkata, West Bengal, India
5  Jagadis Bose National Science Talent Search, Kolkata, West Bengal, India
6  Department of Chemistry and Biochemistry, University of Minnesota, Duluth, Minnesota, USA

Abstract:

The currently surging SARS-COV-2 (or CoVID-19) is challenging the public health authorities worldwide. As of now there is no approved vaccine or drug available for the control of the viral disease. Therefore, non-pharmaceutical interventions (NPIs) are being used around the world to manage the spread of CoVID-19. In this article we used a computer-assisted vaccine design (CAVD) approach to develop a set of most probable peptide vaccine candidates which can be tested for their efficacy by wet lab experiments.

Keywords: CoVID 19;peptide vaccines
Comments on this paper
Alejandro Speck-Planche
Peptide vaccine design (COVID-19)
The authors have applied a very interesting approach for peptide (vaccine) design against COVID-19. I would like to congratulate the authors for their work.
If possible, I would like the authors to write some comments on how to tackle prevent the emergence of toxicity in the selected peptides by using computational tools.



 
 
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