A multifaceted approach for identification, validation, and immunogenicity of naturally processed and in silico-predicted highly conserved SARS-CoV-2 peptides - Ratishvili, Tamar; Quach, Huy Quang; Haralambieva, Iana H.; Suryawanshi, Yogesh R.; Ovsyannikova, Inna G.; Kennedy, Richard B.; Poland, Gregory A. (Vaccine, 2024)
Keywords: Algorithms; Allergy and Immunology; Antibodies; Antigens; Apheresis; Cancer; Cell culture; Cell lines; Cellular immunity; Chromatography, Liquid; class; COVID-19; COVID-19 - prevention & control; COVID-19 Vaccines; Epitope prediction; Epitopes; Epitopes, T-Lymphocyte; HLA molecules; Humans; Immunogenicity; Immunopeptidomics; Infections; Liquid chromatography; longevity; Lymphocytes; Lymphocytes T; Mass spectrometry; Mass spectroscopy; Medical research; Peptide libraries; Peptide vaccines; Peptides; prediction; Proteins; Public health; SARS-CoV-2; SARS-CoV-2 vaccines; Scientific imaging; Severe acute respiratory syndrome coronavirus 2; Spike Glycoprotein, Coronavirus; T-lymphocytes; Tandem Mass Spectrometry; Vaccines; Viral Vaccines; World population; United States--US; Immunopeptidomics; SARS-CoV-2; Epitope prediction; SARS-CoV-2 vaccines; HLA molecules; Cellular immunity; Mass spectrometry; Peptide vaccines