EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published
This submission belongs to the session 02. USINEWS-04: US-IN-EU Worldwide Science Workshop Series, Duluth, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
09 Apr, 2020
Citation
Subhamoy Biswas, Shreyans Chatterjee, Tathagata Dey, Sumanta Dey, Smarajit Manna, Ashesh Nandy, Subhash C Basak, In Silico Approach for Peptide Vaccine Design for CoVID 19, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06787
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In Silico Approach for Peptide Vaccine Design for CoVID 19

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Shreyans Chatterjee 2
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Smarajit Manna 4,5
1. Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal, India, 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
Manuscript
Highly Fluorescent Carbon Nanoparticle: An Emerging Bioimaging Intervention
COVID-19: A novel threat