Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
作者: Heng LuoHao YeHui Wen NgLeming ShiWeida TongWilliam MattesDonna MendrickHuixiao Hong
作者单位: 1U.S. Food and Drug Administration
2University of Arkansas at Little Rock/University of Arkansas for Medical Sciences Bioinformatics Graduate Program
3Fudan University
刊名: BMC Bioinformatics, 2015, Vol.16 (13)
来源数据库: Springer Nature Journal
DOI: 10.1186/1471-2105-16-S13-S9
关键词: HLApeptidenetworkNebulabindingmodulepredictionMHC
原始语种摘要: Abstract(#br) Background(#br)As the major histocompatibility complex (MHC), human leukocyte antigens (HLAs) are one of the most polymorphic genes in humans. Patients carrying certain HLA alleles may develop adverse drug reactions (ADRs) after taking specific drugs. Peptides play an important role in HLA related ADRs as they are the necessary co-binders of HLAs with drugs. Many experimental data have been generated for understanding HLA-peptide binding. However, efficiently utilizing the data for understanding and accurately predicting HLA-peptide binding is challenging. Therefore, we developed a network analysis based method to understand and predict HLA-peptide binding.(#br) Methods(#br)Qualitative Class I HLA-peptide binding data were harvested and prepared from four major databases. An...
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影响因子:3.024 (2012)

  • analysis 分析
  • predicting 预测
  • network 网络
  • leukocyte 白血球
  • human 人的
  • binding 装订
  • between 在中间