PMID- 18450009
OWN - NLM
STAT- MEDLINE
DCOM- 20080605
LR  - 20080502
IS  - 1064-3745 (Print)
IS  - 1064-3745 (Linking)
VI  - 409
DP  - 2007
TI  - HLA-peptide binding prediction using structural and modeling principles.
PG  - 293-9
LID - 10.1007/978-1-60327-118-9_21 [doi]
AB  - Short peptides binding to specific human leukocyte antigen (HLA) alleles elicit 
      immune response. These candidate peptides have potential utility in peptide 
      vaccine design and development. The binding of peptides to allele-specific HLA 
      molecule is estimated using competitive binding assay and biochemical binding 
      constants. Application of this method for proteome-wide screening in parasites, 
      viruses, and virulent bacterial strains is laborious and expensive. However, 
      short listing of candidate peptides using prediction approaches have been 
      realized lately. Prediction of peptide binding to HLA alleles using structural 
      and modeling principles has gained momentum in recent years. Here, we discuss the 
      current status of such prediction.
FAU - Kangueane, Pandjassarame
AU  - Kangueane P
AD  - School of Mechanical and Aerospace Engineering, Nanyang Technological University, 
      Singapore.
FAU - Sakharkar, Meena Kishore
AU  - Sakharkar MK
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Methods Mol Biol
JT  - Methods in molecular biology (Clifton, N.J.)
JID - 9214969
RN  - 0 (HLA Antigens)
RN  - 0 (Ligands)
RN  - 0 (Peptides)
SB  - IM
MH  - Alleles
MH  - Computational Biology
MH  - Computer Simulation
MH  - HLA Antigens/chemistry/genetics/*metabolism
MH  - Humans
MH  - Immunogenetics
MH  - Ligands
MH  - Peptides/chemistry/immunology/*metabolism
MH  - Protein Binding
MH  - Quantitative Structure-Activity Relationship
MH  - Thermodynamics
MH  - User-Computer Interface
EDAT- 2008/05/03 09:00
MHDA- 2008/06/06 09:00
CRDT- 2008/05/03 09:00
PHST- 2008/05/03 09:00 [pubmed]
PHST- 2008/06/06 09:00 [medline]
PHST- 2008/05/03 09:00 [entrez]
AID - 10.1007/978-1-60327-118-9_21 [doi]
PST - ppublish
SO  - Methods Mol Biol. 2007;409:293-9. doi: 10.1007/978-1-60327-118-9_21.