Strategies for vaccine design for corona virus using Immunoinformatics techniques

Anamika Basu; Anasua Sarkar; Ujjwal Maulik

Linear T-cell epitopes for MHC-I binding for nonstructural protein NS4 protein in coronavirus are recognized by consensus methods using various methods such as Artificial neural network (ANN) [18] , Stabilized matrix method (SMM) [19] and Scoring Matrices Derived from Combinatorial Peptide Libraries (Comblib) from tools for MHC -I binding prediction methods of Immune Epitope Database (IEDB) (www.iedb.org) [20] . This serverbased method forecasts the MHC class I binding predication to 26 MHC supertypes as percentile rank. SMM algorithm of MHC-1 binding, transporter of antigenic peptides (TAP) transport efficiency and proteasomal cleavage efficiency are also considered to determine the IC 50 values for processing prediction of epitopes by MHC-I molecules [21] . On the basis of low IC 50 values, 5 best epitopes bind with specific MHC-1 molecules are elected for further evaluation.