PMID- 17597855
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20070801
LR  - 20230918
IS  - 0973-2063 (Electronic)
IS  - 0973-2063 (Linking)
VI  - 1
IP  - 2
DP  - 2005 Oct 11
TI  - Prediction of HLA-A2 binding peptides using Bayesian network.
PG  - 58-63
AB  - Prediction of peptides binding to HLA (human leukocyte antigen) finds application 
      in peptide vaccine design. A number of statistical and structural models have 
      been developed in recent years for HLA binding peptide prediction. However, a 
      Bayesian Network (BNT) model is not available. In this study we describe a BNT 
      model for HLA-A2 binding peptide prediction. It has been demonstrated that the 
      BNT model allows up to 99 % accurate identification of the HLA-A2 binding 
      peptides and provides similar prediction accuracy compared to HMM (Hidden Markov 
      Model) and ANN (Artificial Neural Network). At the same time, it has been shown 
      that the BNT has that advantage that it allows more accurate performance for 
      smaller sets of empirical data compared to the HMM and the ANN methods. When the 
      size of the training set has been reduced to 40% from the original data, the 
      identification of the HLA-A2 binding peptides by the BNT, ANN and HMM methods 
      produced ARoc (area under receiver operating characteristic) values 0.88, 0.85, 
      0.85 respectively. The results of the work demonstrate certain advantages of 
      using the Bayesian Networks in predicting the HLA binding peptides using smaller 
      datasets.
FAU - Astakhov, Vadim
AU  - Astakhov V
AD  - Experimental Medicine Program, Department of Medicine, University of British 
      Columbia, Vancouver, Canada.
FAU - Cherkasov, Artem
AU  - Cherkasov A
LA  - eng
PT  - Journal Article
DEP - 20051011
PL  - Singapore
TA  - Bioinformation
JT  - Bioinformation
JID - 101258255
PMC - PMC1891637
EDAT- 2007/06/29 09:00
MHDA- 2007/06/29 09:01
PMCR- 2005/01/01
CRDT- 2007/06/29 09:00
PHST- 2005/10/05 00:00 [received]
PHST- 2005/10/10 00:00 [revised]
PHST- 2005/10/10 00:00 [accepted]
PHST- 2007/06/29 09:00 [pubmed]
PHST- 2007/06/29 09:01 [medline]
PHST- 2007/06/29 09:00 [entrez]
PHST- 2005/01/01 00:00 [pmc-release]
AID - 17-1-2005 [pii]
AID - 10.6026/97320630001058 [doi]
PST - epublish
SO  - Bioinformation. 2005 Oct 11;1(2):58-63. doi: 10.6026/97320630001058.