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  • 标题:A Server for Allergenicity and Cross-Reactivity Prediction
  • 本地全文:下载
  • 作者:Ivan Dimitrov ; Mariana Atanasova
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2020
  • 卷号:20
  • 期号:6
  • 页码:175-184
  • DOI:10.2478/cait-2020-0071
  • 语种:English
  • 出版社:Bulgarian Academy of Science
  • 摘要:Allergenicity of proteins is a subtle property encoded in their structures.The prediction of allergenicity of novel proteins saves time and resources forsubsequent experimental work. In the host antigen-presenting cells, the allergens areprocessed as antigens by the means of Human Leukocyte Antigens (HLA) class IIproteins. Sometimes, people allergic to a given protein show allergic reaction to adifferent protein, even when the two proteins have different routes of exposure. Thisphenomenon is termed cross-reactivity. Here, we describe a server for allergenicityand cross-reactivity prediction based on the abilities of allergenic proteinsto generate binders to HLA class II proteins. The generated peptides arecompared to HLA binders originating from known allergens. As a result, theserver returns a list of common binders, origin proteins, and species.Different species generate common HLA binders and this determines their cross-reactivity. The server is named AllerScreener and is freely accessible at:http//www.ddg-pharmfac.net/AllerScreener.
  • 关键词:AllerScreener; allergenicity; cross-reactivity; EpiTOP; EpiDOCK; HLA class II.
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