Title page for etd-0721117-145245


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URN etd-0721117-145245
Author Che-hao Jhang
Author's Email Address hogeso81324@gmail.com
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Department Mechanical and Electro-Mechanical Engineering
Year 2016
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A stochastic tunneling search method for single strand deoxyribonucleic acid with the optimal nucleobases sequence for recognizing the prostate cancer protein
Date of Defense 2017-07-28
Page Count 73
Keyword
  • Molecular dynamics
  • Cancer
  • VEGF
  • Basin-Hopping method
  • AMBER
  • Abstract Cancer is one of the most threatening human diseases, which has occupied the first several leading death causes of the top ten in Taiwan since 1982. The early detection on the small amount of cancer molecules is very important for the early stage of cancer treatment and human health. However, the limitation of current clinical diagnostic screening technology has made cancer molecules still hard to be quick and accurate detected by this technology at very low concentration. Therefore, the development of novel probe for cancer molecule detection is the most demanding issue in the bio-technology field. In this study, the molecular dynamics (MD) simulation and the Stochastic tunneling with basin-hopping method (STUN-BH) with the Amber force field were used to clarify the detail interaction and binding configuration between single strand deoxyribonucleic acid (ssDNA) and vascular endothelial growth factor (VEGF). In addition, there is one more ssDNA has been imported into simulation system to investigate the adsorption mechanism of extra ssDNA after the first ssDNA has attached to VEGF. The whole simulation procedure will be developed by the free molecular package, large-scale atomic/molecular massively parallel simulator (LAMMPS) package, for reducing the ssDNA sequence search time in the related experiments.
    Advisory Committee
  • Hui-Lung Chen - chair
  • Ho-Ward Yang - co-chair
  • Hsing-Yin Chen - co-chair
  • Hsin-Tsung Chen - co-chair
  • Shin-pon Ju - advisor
  • Files
  • etd-0721117-145245.pdf
  • indicate access worldwide
    Date of Submission 2017-08-21

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