Various proteins with specific properties and functions exist in organisms, they
perform all important biochemical activities. The biochemical functions of proteins
are determined by their structures. One of the most important issues in the life
science is to predict the three-dimensional structures with protein sequences, and
then to deduce their biochemical functions. To predict protein structure precisely
will accelerate biochemical research. However, it is a challenge task to obtain the real
structure of a protein. The objective of this study is to develop a protein structure
prediction methodology based on a structure-known protein (such as the proteins
in the PDB database), where the two protein sequences are extremely similar.
Some folding algorithms, such as U-fold and S-fold, have been developed to
predict protein structures. However, the folding algorithms work on a grid lattice,
which is very different from the real structure of a protein. Here we use the curve
fitting technique, such as B-splines, to convert the lattice model and a real structure
to the same domain, that is, the curve. We therefore perform curve (structure)
alignment on them. The curve alignment can also be used to evaluate the similarity
between two structures. By the experimental results, our protein structure prediction
method performs well when we get two protein sequences with similarity that
is not too high.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0827102-210445 |
| Date | 27 August 2002 |
| Creators | Chen, Yi-Ying |
| Contributors | Yue-Li Wang, Bang-Ye Wu, Chang-Biau Yang, Yow-Ling Shine, Shang-wu Ding |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0827102-210445 |
| Rights | withheld, Copyright information available at source archive |
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