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Fig. 1 | BMC Bioinformatics

Fig. 1

From: A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin

Fig. 1

Quality of designed peptides from two approaches. The distribution of measured affinities for the designed peptides predicted to belong to the low (L) and high (H) binding affinity classes for the (a) Pythia-design method, and (b) method of Barbarini et al. [2]. The horizontal line at 10,000 indicates the binding affinity cutoff above which a peptide is considered to have a high binding affinity. Both methods produce a statistically significant separation of high- and low- binders (P<0.001), but Pythia-design is much better at generating high-affinity binders

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BMC Bioinformatics

ISSN: 1471-2105

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