Extended Data Fig. 10: Evaluating the performance of the indicated algorithms by EpiScan. | Nature Biotechnology

Extended Data Fig. 10: Evaluating the performance of the indicated algorithms by EpiScan.

From: High-throughput, targeted MHC class I immunopeptidomics using a functional genetics screening platform

Extended Data Fig. 10

These algorithms were used to predict the top 50,000 binders for each allele from the human (9-mer) proteome, and EpiScan screens were used to evaluate the accuracy of these predictions. Not all 50,000 top binders for MHCFlurry, NetMHCpan-BA and MixMHCpred were present in the library and so the overlap between each algorithm’s top 50,000 and those present were used. Overlap for each algorithm/allele: MHCFlurry: A2 – 43973 A3 – 44218 B8 – 35212 B57 – 43746 mixMHCpred: A2 – 31605 A3 – 35217 B8 – 31624 B57 – 40400 NetMHCpan: A2 – 40711 A3 – 42199 B8 – 36766 B57 – 44541.

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