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» Prediction of MHC class I binding peptides, using SVMHC
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BMCBI
2010
102views more  BMCBI 2010»
13 years 6 months ago
Peptide binding predictions for HLA DR, DP and DQ molecules
Background: MHC class II binding predictions are widely used to identify epitope candidates in infectious agents, allergens, cancer and autoantigens. The vast majority of predicti...
Peng Wang, John Sidney, Yohan Kim, Alessandro Sett...
BMCBI
2006
159views more  BMCBI 2006»
13 years 6 months ago
EpiJen: a server for multistep T cell epitope prediction
Background: The main processing pathway for MHC class I ligands involves degradation of proteins by the proteasome, followed by transport of products by the transporter associated...
Irini A. Doytchinova, Pingping Guan, Darren R. Flo...
JCC
2007
82views more  JCC 2007»
13 years 5 months ago
Peptide reagent design based on physical and chemical properties of amino acid residues
: It has tremendous values for both drug discovery and basic research to develop a solid bioinformatical tool for guiding peptide reagent design. Based on the physical and chemical...
Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Cheng-Hua Wang,...
BMCBI
2010
107views more  BMCBI 2010»
13 years 29 days ago
Interaction prediction and classification of PDZ domains
Background: PDZ domain is a well-conserved, structural protein domain found in hundreds of signaling proteins that are otherwise unrelated. PDZ domains can bind to the C-terminal ...
Sibel Kalyoncu, Ozlem Keskin, Attila Gürsoy
BMCBI
2008
100views more  BMCBI 2008»
13 years 6 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...