• DocumentCode
    1281582
  • Title

    Computational Prediction of Important Regions in Protein Sequences [Life Sciences]

  • Author

    Pietrosemoli, Natalia ; López, Daniel ; Segura-Cabrera, Aldo ; Pazos, Florencio

  • Author_Institution
    Rice Univ., Houston, TX, USA
  • Volume
    29
  • Issue
    6
  • fYear
    2012
  • Firstpage
    143
  • Lastpage
    147
  • Abstract
    This column summarizes the main approaches for predicting protein functional sites from sequence information. Extracting functional regions from linear protein sequences has many similarities with prototypical problems in signal processing, and some of the methodologies used are taken from this discipline.
  • Keywords
    DNA; biology computing; genetics; genomics; molecular biophysics; molecular configurations; proteins; DNA; computational prediction; genomic information; linear protein sequences; protein functional sites; prototypical problems; sequence information; signal processing; Amino acids; Bioinformatics; Biomedical informatics; DNA; Feature extraction; Genomics; Protein sequence;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2012.2211476
  • Filename
    6296534