| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 82 === Protein plays an important role in all kinds of animals. The
whole procedure of protein synthesis includes conversions of
DNA sequence to primary RNA, primary RNA sequence to mRNA, and
finally mRNA sequence to protein. Usually, the nucleotide
acids in a DNA sequence can be labelled into two different ca-
tegories, i.e., the coding nucleotide acid and the noncoding
nucleotide acid. Usually, in the protein synthesis process the
noncoding regions in a DNA sequence have to be separated from
the coding regions. Therefore, how to identify and remove the
noncoding nucleotide acids in an unknown DNA sequence be- comes
an important issue in the protein synthesis process. In the
first part of this thesis, we propose a fuzzy neural network to
deal with the above problem. The proposed approach takes the
neighborhood information of a given nucleotide acid into
account and the experimental results reflect that the method is
superb. After all the DNA sites in a sequence have been
identified, the next problem to be solved is to perform
sequence alignment. In this thesis, a method which can perform
simultaneous alignment on a large amount of sequences is
presented. In this method, the simulated annealing technique
is adopted to execute an opti- mization process. From the
identified consensus sequence plus the calculation if the
Shannon information clearly reflect that several sequence
motives are conserved:(a) a guanosine rich re- gion, (b) the
polypyrimidine tract.
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