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Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for functional prediction. A potentially strong target for such a computational approach is autoimmune antibodies which are the result of broken tolerance in the immune system where it cannot distinguish self from non-self resulting in attack of its owndoi:10.1101/2020.08.06.240101 fatcat:xtd7gzbfxjgu7bvoxbrzjgtrru