sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Understanding the binding between human leukocyte antigens (HLAs) and peptides is important to understand the functioning of the immune system. Since it is time-consuming and costly to measure the binding between large numbers of HLAs and peptides, computational methods including machine learning models and network approaches have been developed to...
Alternative Titles
Full title
sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4997263
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4997263
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/srep32115
