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In Silico Approach for Peptide Vaccine Design for CoVID 19
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Shreyans Chatterjee
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Published:
09 April 2020
by MDPI
in MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
congress USINEWS-04: US-IN-EU Worldwide Science Workshop Series, Duluth, USA, 2020
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
10 January 2021
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.
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.
