Jonathan J Ellis

Summary

Publications

  1. pmc Directionality in protein fold prediction
    Jonathan J Ellis
    Department of Statistics, Macquarie University, Sydney, NSW 2109, Australia
    BMC Bioinformatics 11:172. 2010
  2. pmc Predicting protein kinase specificity: Predikin update and performance in the DREAM4 challenge
    Jonathan J Ellis
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Centre for Infectious Disease Research, University of Queensland, Brisbane, Queensland, Australia
    PLoS ONE 6:e21169. 2011
  3. doi request reprint A bioinformatics tool for epitope-based vaccine design that accounts for human ethnic diversity: application to emerging infectious diseases
    Patricio Oyarzún
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Australia Biotechnology Centre, Universidad San Sebastian, Concepcion, Chile Electronic address
    Vaccine 33:1267-73. 2015
  4. pmc PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity
    Patricio Oyarzún
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, QLD 4072, Australia
    BMC Bioinformatics 14:52. 2013

Detail Information

Publications4

  1. pmc Directionality in protein fold prediction
    Jonathan J Ellis
    Department of Statistics, Macquarie University, Sydney, NSW 2109, Australia
    BMC Bioinformatics 11:172. 2010
    ..This makes it possible to conduct a pairwise comparison of folding accuracy, by comparing folds created sequentially from each end of the protein...
  2. pmc Predicting protein kinase specificity: Predikin update and performance in the DREAM4 challenge
    Jonathan J Ellis
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Centre for Infectious Disease Research, University of Queensland, Brisbane, Queensland, Australia
    PLoS ONE 6:e21169. 2011
    ..We also evaluate these improvements using a data set of yeast kinases that have been experimentally characterised, and we discuss the usefulness of Frobenius distance in assessing the predictive power of position weight matrices...
  3. doi request reprint A bioinformatics tool for epitope-based vaccine design that accounts for human ethnic diversity: application to emerging infectious diseases
    Patricio Oyarzún
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Australia Biotechnology Centre, Universidad San Sebastian, Concepcion, Chile Electronic address
    Vaccine 33:1267-73. 2015
    ..We have previously shown that CD4+ T-cell epitopes restricted by 95% of human MHC class II proteins can be predicted with high-specificity...
  4. pmc PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity
    Patricio Oyarzún
    School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, QLD 4072, Australia
    BMC Bioinformatics 14:52. 2013
    ..The ability to predict what epitopes are most likely to dominate an immune response remains a challenge...