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We utilized several approaches to identify the best epitopes for designing our vaccine. These have been described below.
We utilized several approaches to identify the best epitopes for designing our vaccine. These have been described below.
- Strategy 1:
Includes filtering of proteome through all the 7 filters (write names??) in a sequential order, followed by selection of unique proteins from every family to design vaccine constructs.
- Strategy 2:
Includes filtering of protein without sub-cellular localization and sub-cellular localization score (5 filters) filters. For this, we used PSORTb as well as unique proteins from each family having the highest antigenic scores to design multi-epitope vaccine constructs containing only unique proteins. - Strategy 3:
In this, random filtering of proteins (non-sequentially) was used to identify desired protein candidates and utilize these to design vaccine constructs. - Strategy 4:
In this, a conversion of T.cruzi CL Brener (19,602) final file into a binary file occurs which are ranked based on the order of their threshold values. - Strategy 5:
In this, the scaffold WGS (NW_001849447.1 ) were downloaded from which ORFs ( 121349, precisely) were extracted using PRODIGAL. These ORFs subjected to the RV pipeline to shortlist the ORF count to 1640.
In this, the scaffold WGS (NW_001849447.1 ) were downloaded from which ORFs ( 121349, precisely) were extracted using PRODIGAL. These ORFs subjected to the RV pipeline to shortlist the ORF count to 1640.
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