Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN)

被引：0
|
作者：
Jeong, Su Yeon [1 ]
Yoon, Tae Seon [2 ]
Jeong, Chae Yoon [1 ]
机构：
[1] Hankuk Acad Foreign Studies, Gyeonggi Do Yongin 17035, South Korea
[2] Hankuk Acad Foreign Studies, Sci & Informat Dept, Gyeonggi Do Yongin 17035, South Korea
来源：
2016 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2016) | 2016年 / 56卷
关键词：
D O I：
10.1051/matecconf/20165604001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowaday, the number of known protein structures is significantly less than the number of known amino acid sequences. It is because the regularity of amino acid depend on structure is not clear and the number of thermodynamic conditions are too many. There are some cases that discovering protein structure by experiment. However, It needs much time and cost for increasing the number of amino acid sequences, thus, there is less efficiency. So the empirical method which predict theoretically the structure of protein has been developed. We suggest Central-Based Artificial Neural Network as prediction method of protein structure. CebaANN can analyze similarity more detail by making part of center that affect outcome bigger. In experiment we got 85% of prediction probability at E structure, but we got 34% of probability at total.
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页数：5
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