Title page for etd-0821103-204917


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URN etd-0821103-204917
Author Rei-Sing Cheng
Author's Email Address No Public.
Statistics This thesis had been viewed 5364 times. Download 1693 times.
Department Computer Science and Engineering
Year 2002
Semester 2
Degree Master
Type of Document
Language English
Title Protein Structure Prediction Based on Secondary Structure Alignment
Date of Defense 2003-06-20
Page Count 45
Keyword
  • prediction
  • structure
  • alignment
  • protein
  • secondary structure
  • Abstract Sequence alignment is a basic but powerful technique in molecular biology.
    Macromolecular sequences (DNA, RNA and protein sequences) can be aligned based
    on some criteria. The goal of sequence alignment is to find the similarity and the
    difference of input sequences. With various purposes, there are different algorithms
    In this thesis, we present a new algorithm which aligns sequences with consideration of secondary structures. Traditionally, a sequence alignment algorithm
    considers only the primary structure, which is the amino acid chain. When we make
    use of the information of protein secondary structure such as alpha helix, beta sheet etc,
    the sensitivity of pairwise alignment can be improved.
    Advisory Committee
  • Yue-Li Wang - chair
  • Zin-Huang Liu - co-chair
  • Chin-Lung Lu - co-chair
  • Yow-Lin Shine - co-chair
  • Chang-Biau Yang - advisor
  • Files
  • etd-0821103-204917.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2003-08-21

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