• DocumentCode
    3703449
  • Title

    Identification of cancer-specific motifs in mimotope profiles of serum antibody repertoire

  • Author

    Ekaterina Nenastyeva;Alex Zelikovsky;Yurij Ionov;Ion Mandoiu

  • Author_Institution
    Department of Computer Science, Georgia State University, Atlanta, 30303, United States
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    For fighting cancer earlier detection is crucial. The whole proteome can be represented by a random peptide phage display library (RPPDL). This allows to develop an early cancer detection test comparing cancer patients´ and healthy donors´ global peptide profiles of antibody specificities. To decrease the complexity of profiles we developed a method for transforming a list of peptides constituting the mimotope profiles to the list motifs formed by similar peptide sequences. As a result, multiple cancer-specific motifs have been identified.
  • Keywords
    "Peptides","Cancer","Electronic mail","Computer science","Libraries","Sequential analysis","Entropy"
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2015 IEEE 5th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCABS.2015.7344724
  • Filename
    7344724