Epitope prediction based on random peptide library screening: benchmark dataset and prediction tools evaluation.

ABSTRACT: Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases. However, since the number of available mimotopes with the relevant structure of template-target complex is limited, a systematic evaluation of these methods is still absent. In this study, a new benchmark dataset was defined. Using this benchmark dataset and a representative dataset, five examples of the most popular epitope prediction software products which are based on random peptide library screening have been evaluated. Using the benchmark dataset, in no method did performance exceed a 0.42 precision and 0.37 sensitivity, and the MCC score

SUBMITTER: Sun P 

PROVIDER: S-EPMC6264216 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature