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Analysing Patterns of Tripeptides Using Statistical Approach and Neural Network Paradigm

  • Raisa Szabo
  • , Matthew He
  • , Erick Burnham
  • , Jessica Jurani

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The goal of this research was the investigation of the relationships of the distances measured between the different amino acids in the protein of 7,964 tripeptides from the Protein Data Base (PDB). As a first step into this investigation, we developed a program capable of calculating the types of two triangles based on the twelve distances measured between the different amino acids in the protein. The second objective was to use an unsupervised neural network to cluster tripeptides based on the same input data. The selected for this purpose Self-Organizing Maps network was successful in categorizing the data in close approximation to the results achieved by the program.

    Original languageAmerican English
    Title of host publicationAdvances in Bioinformatics and Its Applications
    Subtitle of host publicationProceedings of the International Conference, Nova Southeastern University, Fort Lauderdale, Florida, USA, 16 – 19 December 2004
    EditorsMatthew He, Giri Narasimhan, Sergei Petoukhov
    PublisherWorld Scientific Publishing Company
    Pages544-553
    ISBN (Electronic)978-981-4481-01-4
    ISBN (Print)978-981-256-148-0
    DOIs
    StatePublished - Dec 16 2004
    EventThe International Conference on Bioinformatics and Its Application (ICBA) - Fort Lauderdale, United States
    Duration: Dec 16 2004Dec 19 2004

    Publication series

    NameSeries in Mathematical Biology and Medicine
    Volume8
    ISSN (Print)1793-1258

    Conference

    ConferenceThe International Conference on Bioinformatics and Its Application (ICBA)
    Country/TerritoryUnited States
    CityFort Lauderdale
    Period12/16/0412/19/04

    Keywords

    • Classification
    • Codon
    • Neural Networks
    • Tripeptides

    Disciplines

    • Mathematics

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