Jiangning Song

Summary

Affiliation: Monash University
Country: Australia

Publications

  1. ncbi Prodepth: predict residue depth by support vector regression approach from protein sequences only
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Clayton, Melbourne, Victoria, Australia
    PLoS ONE 4:e7072. 2009
  2. ncbi Cascleave: towards more accurate prediction of caspase substrate cleavage sites
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
    Bioinformatics 26:752-60. 2010
  3. ncbi Bioinformatic approaches for predicting substrates of proteases
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Victoria 3800, Australia
    J Bioinform Comput Biol 9:149-78. 2011
  4. ncbi TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, Victoria, Australia
    PLoS ONE 7:e30361. 2012
  5. ncbi Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs
    Khalid Mahmood
    Department of Biochemistry and Molecular Biology, Monash University, VIC 3800, Australia
    Nucleic Acids Res 40:e44. 2012
  6. ncbi PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia
    PLoS ONE 7:e50300. 2012
  7. ncbi Predicting serpin/protease interactions
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia
    Methods Enzymol 501:237-73. 2011
  8. ncbi EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes
    Khalid Mahmood
    Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
    Bioinformatics 26:2076-84. 2010
  9. ncbi Mathematical modelling of the MAP kinase pathway using proteomic datasets
    Tianhai Tian
    School of Mathematical Sciences, Faculty of Science, Monash University, Clayton, Victoria, Australia
    PLoS ONE 7:e42230. 2012

Collaborators

Detail Information

Publications9

  1. ncbi Prodepth: predict residue depth by support vector regression approach from protein sequences only
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Clayton, Melbourne, Victoria, Australia
    PLoS ONE 4:e7072. 2009
    ..We also discuss the potential implications of this new structural parameter in the field of protein structure prediction and homology modeling. This method might prove to be a powerful tool for sequence analysis...
  2. ncbi Cascleave: towards more accurate prediction of caspase substrate cleavage sites
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
    Bioinformatics 26:752-60. 2010
    ..Accordingly, systematic computational screening studies of caspase substrate cleavage sites may provide insight into the substrate specificity of caspases and further facilitating the discovery of putative novel substrates...
  3. ncbi Bioinformatic approaches for predicting substrates of proteases
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Victoria 3800, Australia
    J Bioinform Comput Biol 9:149-78. 2011
    ..We also provide some suggestions about how future studies might further improve the accuracy of protease substrate specificity prediction...
  4. ncbi TANGLE: two-level support vector regression approach for protein backbone torsion angle prediction from primary sequences
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, Victoria, Australia
    PLoS ONE 7:e30361. 2012
    ..TANGLE is freely accessible at http://sunflower.kuicr.kyoto-u.ac.jp/~sjn/TANGLE/...
  5. ncbi Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs
    Khalid Mahmood
    Department of Biochemistry and Molecular Biology, Monash University, VIC 3800, Australia
    Nucleic Acids Res 40:e44. 2012
    ..med.monash.edu.au/∼kmahmood/afree. EGM2, complete ortholog assignment pipeline (including afree and the iterative graph matching method) available from http://vbc.med.monash.edu.au/∼kmahmood/EGM2...
  6. ncbi PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia
    PLoS ONE 7:e50300. 2012
    ..It is freely available at http://lightning.med.monash.edu.au/PROSPER/...
  7. ncbi Predicting serpin/protease interactions
    Jiangning Song
    Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia
    Methods Enzymol 501:237-73. 2011
    ..The method described here could also be applied to other proteases for more generalized substrate specificity analysis and substrate discovery...
  8. ncbi EGM: encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes
    Khalid Mahmood
    Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
    Bioinformatics 26:2076-84. 2010
    ..Such an insight is particularly useful, for example, in the transfer of experimental results between different experimental systems such as Drosophila and mammals...
  9. ncbi Mathematical modelling of the MAP kinase pathway using proteomic datasets
    Tianhai Tian
    School of Mathematical Sciences, Faculty of Science, Monash University, Clayton, Victoria, Australia
    PLoS ONE 7:e42230. 2012
    ....