{'fraction_non_alphanumeric': 0.013177159590043924, 'fraction_numerical': 0.0, 'mean_word_length': 5.979591836734694, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Immunoinformatics: how in silico methods are re-shaping the investigation of peptide immune specificity.

In the past decade, information technology has enabled synergistic advances in key domains of immunological research including the development of diagnostics and vaccines. Computational methods of epitope mapping now play instrumental roles in bench experiments, by facilitating the selection of immunogenic targets and the modeling of downstream cellular responses. In this article, we summarize the latest development and application of immune epitope prediction methods and discuss future directions in this field which could enhance our understanding of immune specificity.