Jiangning Song

Summary

Affiliation: Kyoto University
Country: Japan

Publications

  1. doi request reprint HSEpred: predict half-sphere exposure from protein sequences
    Jiangning Song
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Bioinformatics 24:1489-97. 2008
  2. pmc APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
    Jun Feng Xia
    Intelligent Computing Laboratory, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China
    BMC Bioinformatics 11:174. 2010
  3. pmc Integer programming-based method for designing synthetic metabolic networks by Minimum Reaction Insertion in a Boolean model
    Wei Lu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
    PLoS ONE 9:e92637. 2014
  4. ncbi request reprint Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets
    Mingjun Wang
    National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, Department of Computer Science, School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China, Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria 3800, Australia, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan and ARC Centre of Excellence for Structural and Functional Microbial Genomics, Monash University, Melbourne, Victoria 3800, Australia
    Bioinformatics 30:71-80. 2014

Collaborators

Detail Information

Publications4

  1. doi request reprint HSEpred: predict half-sphere exposure from protein sequences
    Jiangning Song
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan
    Bioinformatics 24:1489-97. 2008
    ..However, currently there is no existing method for the prediction of HSE measures from sequence data...
  2. pmc APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
    Jun Feng Xia
    Intelligent Computing Laboratory, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China
    BMC Bioinformatics 11:174. 2010
    ..Therefore, reliable and efficient computational methods for identifying hot spots are greatly desired and urgently required...
  3. pmc Integer programming-based method for designing synthetic metabolic networks by Minimum Reaction Insertion in a Boolean model
    Wei Lu
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
    PLoS ONE 9:e92637. 2014
    ..A theoretical analysis of MRI is also conducted, and the NP-completeness of MRI is proved in the Boolean model. Our developed software is available at "http://sunflower.kuicr.kyoto-u.ac.jp/~rogi/minRect/minRect.html." ..
  4. ncbi request reprint Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets
    Mingjun Wang
    National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, Department of Computer Science, School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China, Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria 3800, Australia, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Kyoto 611 0011, Japan and ARC Centre of Excellence for Structural and Functional Microbial Genomics, Monash University, Melbourne, Victoria 3800, Australia
    Bioinformatics 30:71-80. 2014
    ..Accordingly, systematic bioinformatics studies of known cleavage sites may provide important insights into their substrate specificity and facilitate the discovery of novel substrates...