• DocumentCode
    571655
  • Title

    Predicting the Secondary Structure of Proteins Using New Ways of Classification

  • Author

    Liang, Luo

  • Author_Institution
    Dept. of Ship Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    2
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    In this paper we imitate the ways of the information theory and propose new ways to classify features from 20 amino acids, we then use the classify features as inputs code for a neural network and apply to prediction the secondary structure of globular protein and give a new thought to research the protein structure.
  • Keywords
    biology computing; information theory; neural nets; pattern classification; proteins; amino acids; feature classification; globular protein secondary structure; information theory; neural network; protein secondary structure prediction; Accuracy; Amino acids; Coils; Databases; Mathematical model; Neural networks; Proteins; Predicting the secondary structure; information theory; net network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.147
  • Filename
    6305761
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=571655