Tipu H N, Ahmed D, Gardezi S A H
Armed Forces Institute of Pathology (AFIP), Rawalpindi, Pakistan.
Iran J Vet Res. 2017 Winter;18(1):56-59.
The objective of this descriptive study was to determine (cat) and (dog) protein epitopes that bind strongly to selected HLA class II alleles to identify synthetic vaccine candidate epitopes and to identify individuals/populations who are likely to respond to vaccines. FASTA amino acid sequences of experimentally validated allergenic proteins of house cat and dog were identified using International Union of Immunological Societies (IUIS) allergen nomenclature database. NetMHCII 2.2 server was used to determine binding affinities in the form of 1-log 50 k and in nM with commonly found HLA II alleles. Screening of house cat and dog allergenic proteins identified 4 (with 2 isoforms for chain 1 and 3 isoforms for chain 2 for fel d 1) and 6 proteins, respectively. Number of strong binders from each protein against each HLA type was determined as potential candidate for allergen immunotherapy. HLA-DRB10101 bound maximum number of epitopes (207 and 275 from house cat and dog, respectively) while HLA-DRB10802 bound none. We conclude that HLA specific epitope prediction can help identify synthetic peptide vaccine candidates and predict response as well.
这项描述性研究的目的是确定与选定的HLA II类等位基因强烈结合的猫和狗的蛋白质表位,以识别合成疫苗候选表位,并识别可能对疫苗产生反应的个体/人群。利用国际免疫学会(IUIS)过敏原命名数据库确定了家猫和狗经实验验证的过敏原蛋白的FASTA氨基酸序列。使用NetMHCII 2.2服务器以1-log 50 k的形式和以纳摩尔为单位确定与常见HLA II类等位基因的结合亲和力。对家猫和狗的过敏原蛋白进行筛选,分别鉴定出4种(其中链1有2种异构体,链2有3种异构体的fel d 1)和6种蛋白质。确定每种蛋白质针对每种HLA类型的强结合剂数量作为过敏原免疫治疗的潜在候选物。HLA-DRB10101结合的表位数量最多(家猫和狗分别为207个和275个),而HLA-DRB10802则未结合任何表位。我们得出结论,HLA特异性表位预测有助于识别合成肽疫苗候选物并预测反应。