• DocumentCode
    3590902
  • Title

    Protein secondary structure predict based on the path with the maximum weight

  • Author

    Luo, Liang ; Shao, Zehui

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    Graph theory plays a key role in the field of prediction of protein structure. In this paper, we proposed a new method of protein secondary structure predict based on the path with the maximum weight of a graph. Three vertices of the graph give a possible secondary structure of a protein, and each edge of the graph is assigned a weight by a function. The path with the maximum weight equated the corrected secondary structure. By this method, we tested against several groups proteins and showed that this method was feasible. Finally we discussed the selection of parameters in this method.
  • Keywords
    molecular biophysics; molecular configurations; proteins; protein secondary structure predict; Amino acids; Clustering algorithms; Graph theory; Hidden Markov models; Information science; Partitioning algorithms; Prediction methods; Predictive models; Protein engineering; Protein sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358184
  • Filename
    5358184