posted on 2023-12-04, 21:48authored byDavid SchneiderDavid Schneider, Paige C. Grossman, Robert Kirkpatrick, Stephen N. White, Lindsay M.W. Piel
<p dir="ltr">T-cell epitopes represent sampled environmental- and self-peptides loaded into major histocompatibility complex (MHC) proteins. Bioinformatic tools have been produced to predict these interactions for many species, providing peptides of interest in vaccine development studies.</p><p dir="ltr">Prior work by the researchers (<a href="https://doi.org/10.1186/s12859-021-04181-w" rel="noreferrer" target="_blank">DOI: 10.1186/s12859-021-04181-w</a>) assessed the ability of <i>Coxiella burnetii </i>proteins to interact with MHC alleles in human, mouse, and cattle species, the data from which is available on the Open Science Framework repository with accession number RN6QA (<a href="https://osf.io/rn6qa/" rel="noreferrer" target="_blank">DOI: 10.17605/OSF.IO/RN6QA</a>).</p><p dir="ltr">Presently, bioinformatic programs <a href="https://services.healthtech.dtu.dk/services/NetBoLAIIpan-1.0/" rel="noreferrer" target="_blank">NetBoLAIIpan 1.0</a> and <a href="https://services.healthtech.dtu.dk/services/NetMHCpan-4.1/" target="_blank">NetMHCpan 4.1</a> were employed to predict T-cell epitopes within the <i>C. burnetii </i>proteome for the small ruminant species and to expand cattle predictions. The new datasets available herein provide the species, amino acid sequence, position within the protein, GenBank ID, allele name, and the predicted binding strength for each tested peptide.</p>
Funding
Agricultural Research Service, 2090-32000-046-000D