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Protein Engineering
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March 21, 2003
HLA-A3 supermotif defined by quantitative structure-activity relationship analysis
Pingping Guan, Irini A Doytchinova, Darren R Flower
Methods in Molecular Biology (Clifton, N.J.)
|
May 3, 2008
The classification of HLA supertypes by GRID/CPCA and hierarchical clustering methods
Pingping Guan, Irini A Doytchinova, Darren R Flower
Journal of Immunology (Baltimore, Md. : 1950)
|
March 23, 2004
Identifiying human MHC supertypes using bioinformatic methods
Irini A Doytchinova, Pingping Guan, Darren R Flower
Methods (San Diego, Calif.)
|
November 16, 2004
Quantitative structure-activity relationships and the prediction of MHC supermotifs
Irini A Doytchinova, Pingping Guan, Darren R Flower
BMC Bioinformatics
|
March 15, 2006
EpiJen: a server for multistep T cell epitope prediction
Irini A Doytchinova, Pingping Guan, Darren R Flower
Bioorganic & Medicinal Chemistry
|
April 26, 2003
A comparative molecular similarity indices (CoMSIA) study of peptide binding to the HLA-A3 superfamily
Pingping Guan, Irini A Doytchinova, Darren R Flower
Nucleic Acids Research
|
June 26, 2003
MHCPred: A server for quantitative prediction of peptide-MHC binding
Pingping Guan, Irini A Doytchinova, Christianna Zygouri, et al.
Applied Bioinformatics
|
May 8, 2004
MHCPred: bringing a quantitative dimension to the online prediction of MHC binding
Pingping Guan, Irini A Doytchinova, Christianna Zygouri, et al.
Applied Bioinformatics
|
March 17, 2006
MHCPred 2.0: an updated quantitative T-cell epitope prediction server
Pingping Guan, Channa K Hattotuwagama, Irini A Doytchinova, et al.
Organic & Biomolecular Chemistry
|
November 10, 2004
New horizons in mouse immunoinformatics: reliable in silico prediction of mouse class I histocompatibility major complex peptide binding affinity
Channa K Hattotuwagama, Pingping Guan, Irini A Doytchinova, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Protein Engineering
|
March 21, 2003
HLA-A3 supermotif defined by quantitative structure-activity relationship analysis
Pingping Guan, Irini A Doytchinova, Darren R Flower
Methods in Molecular Biology (Clifton, N.J.)
|
May 3, 2008
The classification of HLA supertypes by GRID/CPCA and hierarchical clustering methods
Pingping Guan, Irini A Doytchinova, Darren R Flower
Journal of Immunology (Baltimore, Md. : 1950)
|
March 23, 2004
Identifiying human MHC supertypes using bioinformatic methods
Irini A Doytchinova, Pingping Guan, Darren R Flower
Methods (San Diego, Calif.)
|
November 16, 2004
Quantitative structure-activity relationships and the prediction of MHC supermotifs
Irini A Doytchinova, Pingping Guan, Darren R Flower
BMC Bioinformatics
|
March 15, 2006
EpiJen: a server for multistep T cell epitope prediction
Irini A Doytchinova, Pingping Guan, Darren R Flower
Bioorganic & Medicinal Chemistry
|
April 26, 2003
A comparative molecular similarity indices (CoMSIA) study of peptide binding to the HLA-A3 superfamily
Pingping Guan, Irini A Doytchinova, Darren R Flower
Nucleic Acids Research
|
June 26, 2003
MHCPred: A server for quantitative prediction of peptide-MHC binding
Pingping Guan, Irini A Doytchinova, Christianna Zygouri, et al.
Applied Bioinformatics
|
May 8, 2004
MHCPred: bringing a quantitative dimension to the online prediction of MHC binding
Pingping Guan, Irini A Doytchinova, Christianna Zygouri, et al.
Applied Bioinformatics
|
March 17, 2006
MHCPred 2.0: an updated quantitative T-cell epitope prediction server
Pingping Guan, Channa K Hattotuwagama, Irini A Doytchinova, et al.
Organic & Biomolecular Chemistry
|
November 10, 2004
New horizons in mouse immunoinformatics: reliable in silico prediction of mouse class I histocompatibility major complex peptide binding affinity
Channa K Hattotuwagama, Pingping Guan, Irini A Doytchinova, et al.
Page
of 2