Result tables summarizing the prediction accuracy results presented in Figs 2B, 3B and 4A, and S1–S6 and S9 Figs, and a list of studies from which the VDJdb data consists of.
Table S3: CD4+ T-cell epitopes of CALR, SFRP1, and SUMO1 and their respective MHC-II binding affinities, predicted by at least two out of three immunoinformatics tools
Non-typhoidal Salmonella is responsible for gastrointestinal illnesses worldwide. Therefore, it is important to implement effective therapeutic interventions for preventing these diseases. Vaccines ha
Additional file 5:"FungalRV adhesin predictor" scores of In-silico predicted adhesins by Weig et al. "FungalRV adhesin predictor" scores of In-silico predicted adhesins by Weig et al. are listed in th
PRRpred: A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information PRRpred is a computational web server developed for predicting Pattern Recognition Receptors, also
