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V Brusic

Showing results (11-20 of 38) with videos related to

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Bioinformatics (Oxford, England)|June 2, 1998
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural networkV Brusic, G Rudy, G Honeyman, et al.
Immunology Today|August 1, 1995
Sequence similarity between beta-cell autoantigensG Rudy, V Brusic, L C Harrison, et al.
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1997
Application of genetic search in derivation of matrix models of peptide binding to MHC moleculesV Brusic, C Schönbach, M Takiguchi, et al.
Nucleic Acids Research|December 11, 1999
FIMM, a database of functional molecular immunologyC Schönbach, J L Koh, X Sheng, et al.
Nature Biotechnology|October 27, 1998
Neural network-based prediction of candidate T-cell epitopesM C Honeyman, V Brusic, N L Stone, et al.
Nature Medicine|May 1, 1995
MHC molecular mimicry in diabetesH Baum, V Brusic, K Choudhuri, et al.
Proceedings. AMIA Symposium|February 3, 1999
MHCWeb: converting a WWW database into a knowledge-based collaborative environmentL Hon, N F Abernethy, V Brusic, et al.
In Silico Biology|July 27, 2001
A neural network model approach to the study of human TAP transporterV Brusic, P van Endert, J Zeleznikow, et al.
Cancer Research|September 15, 2000
NY-ESO-1 encodes DRB1*0401-restricted epitopes recognized by melanoma-reactive CD4+ T cellsH M Zarour, W J Storkus, V Brusic, et al.
Journal of Molecular Graphics & Modelling|September 13, 2001
Efficient discovery of immune response targets by cyclical refinement of QSAR models of peptide bindingV Brusic, K Bucci, C Schönbach, et al.
Pageof 4

Showing results (11-20 of 38) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|June 2, 1998
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural networkV Brusic, G Rudy, G Honeyman, et al.
Immunology Today|August 1, 1995
Sequence similarity between beta-cell autoantigensG Rudy, V Brusic, L C Harrison, et al.
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1997
Application of genetic search in derivation of matrix models of peptide binding to MHC moleculesV Brusic, C Schönbach, M Takiguchi, et al.
Nucleic Acids Research|December 11, 1999
FIMM, a database of functional molecular immunologyC Schönbach, J L Koh, X Sheng, et al.
Nature Biotechnology|October 27, 1998
Neural network-based prediction of candidate T-cell epitopesM C Honeyman, V Brusic, N L Stone, et al.
Nature Medicine|May 1, 1995
MHC molecular mimicry in diabetesH Baum, V Brusic, K Choudhuri, et al.
Proceedings. AMIA Symposium|February 3, 1999
MHCWeb: converting a WWW database into a knowledge-based collaborative environmentL Hon, N F Abernethy, V Brusic, et al.
In Silico Biology|July 27, 2001
A neural network model approach to the study of human TAP transporterV Brusic, P van Endert, J Zeleznikow, et al.
Cancer Research|September 15, 2000
NY-ESO-1 encodes DRB1*0401-restricted epitopes recognized by melanoma-reactive CD4+ T cellsH M Zarour, W J Storkus, V Brusic, et al.
Journal of Molecular Graphics & Modelling|September 13, 2001
Efficient discovery of immune response targets by cyclical refinement of QSAR models of peptide bindingV Brusic, K Bucci, C Schönbach, et al.
Pageof 4