Designing anti-Zika virus peptides derived from predicted human-Zika virus protein-protein interactions
Computational Biology and Chemistry(2017)
Abstract
•We predicted Protein–protein Interaction (PPIs) between humans and the Zika virus (ZIKV).•Using two computational tools, we found 209 human protein candidates predicted to interact with the ZIKV.•Of these 209, we produced a priority list of 25 high-likelihood human protein candidates to further investigate.•From these top 25, we take the top 4 PPIs and designed inhibitory therapeutics which are hypothesized to inhibit the corresponding interacting ZIKV protein, potentially interrupting the ZIKV lifecycle.
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Key words
Synthetic peptide design,Anti-Zika virus peptides,In silico drug design,Protein-protein interaction prediction,Host-virus interactions
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