• DocumentCode
    1280426
  • Title

    A machine learning strategy for protein analysis

  • Author

    Baldi, Pierre ; Pollastri, Gianluca

  • Author_Institution
    Inst. for Genomics & Bioinformatics, California Univ., Irvine, CA, USA
  • Volume
    17
  • Issue
    2
  • fYear
    2002
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    To sift through and analyze the massive and increasingly available data on proteins, researchers need new computing methods. The authors use machine-learning methods in a novel three-step strategy for protein structure prediction.
  • Keywords
    biology computing; computer aided analysis; learning (artificial intelligence); molecular biophysics; molecular configurations; physics computing; proteins; machine learning strategy; protein analysis; protein structure prediction; Amino acids; Biochemistry; Bioinformatics; Biomembranes; DNA; Genomics; Machine learning; Protein engineering; Proteomics; Sequences;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2002.999217
  • Filename
    999217
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1280426