First computational design of Covid-19 coronavirus vaccine using lambda superstrings

Martinez, L.; Malaina, I.; Salcines, D.; Teran, H.; Alegre, S.; MartInez de la Fuente, I.; Gonzalez, E.; Ocejo, G.; Alvarez, C.

doi:10.1101/2020.11.30.403824

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bioRxiv · 10.1101/2020.11.30.403824

First computational design of Covid-19 coronavirus vaccine using lambda superstrings

Martinez, L.·Malaina, I.·Salcines, D.·Teran, H.·Alegre, S.·MartInez de la Fuente, I.·Gonzalez, E.·Ocejo, G.·Alvarez, C.

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Abstract

In this work we have developed, by employing lambda superstrings, a map of candidate vaccines against SARS-CoV-2 with lengths between 9 and 200, based on estimations of the immunogenicity of the epitopes and the binding affinity of epitopes to MHC class I molecules using tools from the IEDB Analysis Resource, as well as the overall predictions obtained using the VaxiJen tool. We have synthesized one of the peptides, specifically the one of length 22, and we have carried out an immunogenicity assay and a cytokine assay, which has given positive results in both cases.

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Martinez, L., Malaina, I., Salcines, D., Teran, H., Alegre, S., MartInez de la Fuente, I., Gonzalez, E., Ocejo, G., Alvarez, C.. 2020-11-30. First computational design of Covid-19 coronavirus vaccine using lambda superstrings. https://doi.org/10.1101/2020.11.30.403824

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