title: Development of a novel in silico docking simulation model for the fine HIV-1 cytotoxic T lymphocyte epitope mapping.
abstract: BACKGROUND
  Class I HLA's polymorphism has hampered CTL epitope mapping with laborious experiments. Objectives are 1) to evaluate the novel in silico model in predicting previously reported epitopes in comparison with existing program, and 2) to apply the model to predict optimal epitopes with HLA using experimental results.
  
  
  METHODS
  We have developed a novel in silico epitope prediction method, based on HLA crystal structure and a peptide docking simulation model, calculating the peptide-HLA binding affinity at four amino acid residues in each terminal. It was applied to predict 52 HIV best-defined CTL epitopes from 15-mer overlapping peptides, and its predictive ability was compared with the HLA binding motif-based program of HLArestrictor. It was then used to predict HIV-1 Gag optimal epitopes from previous ELISpot results.
  
  
  RESULTS
  43/52 (82.7%) epitopes were detected by the novel model, whereas 37 (71.2%) by HLArestrictor. We also found a significant reduction in epitope detection rates for longer epitopes in HLArestrictor (p = 0.027), but not in the novel model. Improved epitope prediction was also found by introducing both models, especially in specificity (p<0.001). Eight peptides were predicted as novel, immunodominant epitopes in both models.
  
  
  CONCLUSIONS
  This novel model can predict optimal CTL epitopes, which were not detected by an existing program. This model is potentially useful not only for narrowing down optimal epitopes, but predicting rare HLA alleles with less information. By introducing different principal models, epitope prediction will be more precise.
authors: Institute of Tropical Medicine, Nagasaki University, Nagasaki City, Nagasaki, Japan.
authors: Masahiko
authors: M
authors: Mori
authors: Kei
authors: K
authors: Matsuki
authors: Tomoyuki
authors: T
authors: Maekawa
authors: Mari
authors: M
authors: Tanaka
authors: Busarawan
authors: B
authors: Sriwanthana
authors: Masaru
authors: M
authors: Yokoyama
authors: Koya
authors: K
authors: Ariyoshi
mesh_terms: D020816:Amino Acid Motifs; D000595:Amino Acid Sequence; D015331:Cohort Studies; D019295:Computational Biology; D018604:Epitope Mapping / Q000379:methods*; D018984:Epitopes, T-Lymphocyte / Q000737:chemistry / Q000276:immunology* / Q000378:metabolism; D005260:Female; D015488:HIV Antigens / Q000737:chemistry / Q000276:immunology; D015497:HIV-1 / Q000737:chemistry* / Q000276:immunology*; D006680:HLA Antigens / Q000737:chemistry / Q000276:immunology; D006801:Humans; D008297:Male; D062105:Molecular Docking Simulation; D013602:T-Lymphocytes, Cytotoxic / Q000276:immunology*; D054301:gag Gene Products, Human Immunodeficiency Virus / Q000737:chemistry / Q000276:immunology
chemical_list: D018984:Epitopes, T-Lymphocyte; D015488:HIV Antigens; D006680:HLA Antigens; D054301:gag Gene Products, Human Immunodeficiency Virus