Author: Saba Ismail; Sajjad Ahmad; Syed Sikander Azam
Title: Immuno-informatics Characterization SARS-CoV-2 Spike Glycoprotein for Prioritization of Epitope based Multivalent Peptide Vaccine Document date: 2020_4_12
ID: 3jmo35jc_78
Snippet: Authors are highly grateful to the Pakistan-United States Science and Technology Cooperation Program (Grant No. Pak-US/2017/360) for granting the financial assistance. Fig.1 . PROSA-Z energy plot for the MEPVC. Fig.2 . Residue wise decomposition of net binding energy into TLR3 receptor and MEPVC interacting residues. Top (GB) and bottom (PB). Fig.3 . Binding energy decomposition per frame for TLR3-MEPVC complex (A), TLR3 receptor (B), MEPVC (C) a.....
Document: Authors are highly grateful to the Pakistan-United States Science and Technology Cooperation Program (Grant No. Pak-US/2017/360) for granting the financial assistance. Fig.1 . PROSA-Z energy plot for the MEPVC. Fig.2 . Residue wise decomposition of net binding energy into TLR3 receptor and MEPVC interacting residues. Top (GB) and bottom (PB). Fig.3 . Binding energy decomposition per frame for TLR3-MEPVC complex (A), TLR3 receptor (B), MEPVC (C) and net energy (D). Table 1 . B cell epitopes predicted for the SARS-CoV-2 spike glycoprotein. Table 2 . Top 5 refined model of the MEPVC. The input MEPVC is also provided. author/funder. All rights reserved. No reuse allowed without permission.
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