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84篇 您的检索式:作者名="Brusic"
    题名 作者 年代 出处 被引量
1Computational immunology:The coming of age显示文摘Petrovsky N Brusic V 2002Immunol Cell Biol2002,80,3:1
2Bioinformics for characterisation of allergens , allergenicity and allergic crossreactivity 显示文摘Brusic V Petrovsky N 2003Trends Immunol2003,24,5:1
3Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network显示文摘BRUSIC V RUDY G HONEYMAN G 1998Bioinformatics1998,14,2:1
4Relationship between peptide selectivities of human transporters associated with antigen processing and HLA class I molecules 显示文摘Daniel S Brusic V Caillat Zucman S 1998J Immunol1998,161,2:1
5Computationalmetbods for prediction of T2cell epitopes-a framework for modeling, testing, and applications显示文摘Brusic V Bajic V B PetrovskyN 2004Methods2004,34,4:1
6NY-ESO-1 encodes DRB1 * 0401-restricted epitopes recognized by melanoma-reactive CD4 + T cells显示文摘Zarour H M Storkus W J Brusic V 0,,17:1
7Computational methods for prediction of T-cell epitopes:a framework for modelling,testing,and applications显示文摘BRUSIC V BAJIC V B PETROVSKY N 2004Methods2004,34,4:1
8Use of polyaniline and its derivatives in corrosion protection of copper and silver 显示文摘BRUSIC V ANGELOPOULOS M GRAHAM T 1997Journal of the Electrochemical Society1997,144,2:1
9Role of slurry in copper CMP显示文摘Brusic V Wang S Hawkins J 1999Eur Semiconductor Des Prod Assembly1999,21,4:1
10NY-ESO-1 119-143 is promiscuous major histocompatibility complex class Ⅱ Thelper epitope recognized by Th1-and Th2-type tumor-reactive CD4+ T cells显示文摘Zarour H M Maillere B Brusic V Coval K Willams E Pouvelle-Moratille S 0,,:1
11A systematic bioinformatics approach for selection of epitope-based vaccine targets显示文摘Asif M. Khan Olivo Miotto A.T. Heiny Jerome Salmon K.N. Srinivasan Eduardo J.M. Nascimento Ernesto T.A. Marques Vladimir Brusic Tin Wee Tan J. Thomas August 2007Cellular Immunology2007,,2:1
12Virtual models of the HLA class Ⅰ antigen processing pathway显示文摘Petrovskya N Brusic V 2004Methods2004,34,:1
13Computational methods for prediction of T-cell epitopes-a framework for modelling,testing,and applications显示文摘Brusic V Bajic VB Petrovsky N 2004Methods2004,34,:1
14Prediction of MHC class Ⅱ- binding peptides using an evolutionary algorithm and artificial neural network显示文摘Brusic V George R Margo H 1998Bioinformatics1998,14,:1
15NY-ESO-1 encodes DRB1 0401-restricted epitopes recognized by melanoma-reactive CD4^ + T cells 显示文摘Zarour H M Storkus W J Brusic V 2000Cancer Res2000,60,17:1
16Neural network- based prediction of candidate T-cell epitopes 显示文摘Honeyman M C Brusic V Stone N L Harrison L C 1998Nat Biotechnol1998,16,10:1
17Computational methods for prediction of T-cell epitopes-a framework for modelling, testing, and applications显示文摘Brusic V Bajic V B Petrovsky N 2004Methods2004,34,4:1
18NY-ESO-1 119-143 is promiscuous major histocompatibility complex class H T-helper epitope recognized by Thl-and Th2-type tumor-reactiveCD4+ T cells显示文摘Zarour HM Maillere B Brusic V 2002Cancer Res2002,62,1:1
19Prediction of MHC class Ⅱ-binding peptides using an evolutionary algorithm and artificial neural network显示文摘Brusic V George R Margo H 1998Bioinformatics1998,14,:1
20Copper corrosion with and without inhibitors显示文摘Brusic V Frisch M A Eldridge B N 1991J Electrochem Soc1991,138,8:1
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