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.
We consider a novel approach to mathematically define a graphing method to represent amino acid sequences of proteins in two-dimensional plane and characterize them numerically. The amino acids are represented by their relative magnitude of their hydrophobicity. Each amino acid is compared with a vector and moves in relative direction which generates a graph. Applications are shown in Zaire Ebola Virus to conclude how this plotting can be more useful than base sequence plotting. Also, superimposition graph of SARS and SARS-CoV-2 shows that these sequences are strongly related and Various other applications are shown too to explain it's fruitfulness.