Prediction of Protein Crystallization from Amino Acid Sequences by Fuzzy Neural Network
碩士 === 國立成功大學 === 化學工程學系碩博士班 === 96 === The most popular method for determining tertiary structure of proteins is the X-ray crystallography that after proteins yield crystals. The factors that determine the successful crystallization of proteins are poorly understood. However, Crystallization is an...
Main Authors: | Zhong-Pei Jian, 簡仲培 |
---|---|
Other Authors: | Chu-Yuan Cheng |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/97612778149819751174 |
Similar Items
-
Predicting protein disorder by analyzing amino acid sequence
by: Yang Mary, et al.
Published: (2008-09-01) -
Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
by: Vel Arjunan, Satya Nanda
Published: (2003) -
Predicting DNA-binding sites of proteins from amino acid sequence
by: Wu Feihong, et al.
Published: (2006-05-01) -
Prediction of Protein Relative Solvent Accessibility from Amino Acid Sequence
by: 徐蔚倫
Published: (2005) -
A novel matrix of sequence descriptors for predicting protein-protein interactions from amino acid sequences.
by: Xue Wang, et al.
Published: (2019-01-01)