Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN)
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 stru...
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Online Access: | http://dx.doi.org/10.1051/matecconf/20165604001 |
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doaj-b78d92968f6f4a10b356f6764349a7c82021-02-02T00:14:47ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01560400110.1051/matecconf/20165604001matecconf_iccae2016_04001Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN)Jeong Su Yeon0Yoon Tae Seon1Jeong Chae Yoon2Hankuk Academy of Foreign Studies, StudentHankuk Academy of Foreign Studies, Science and Information DepartmentHankuk Academy of Foreign Studies, StudentNowaday, 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.http://dx.doi.org/10.1051/matecconf/20165604001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jeong Su Yeon Yoon Tae Seon Jeong Chae Yoon |
spellingShingle |
Jeong Su Yeon Yoon Tae Seon Jeong Chae Yoon Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) MATEC Web of Conferences |
author_facet |
Jeong Su Yeon Yoon Tae Seon Jeong Chae Yoon |
author_sort |
Jeong Su Yeon |
title |
Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) |
title_short |
Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) |
title_full |
Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) |
title_fullStr |
Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) |
title_full_unstemmed |
Application of Artificial Neural Network (ANN): Development of Central-based ANN (CebaANN) |
title_sort |
application of artificial neural network (ann): development of central-based ann (cebaann) |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2016-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1051/matecconf/20165604001 |
work_keys_str_mv |
AT jeongsuyeon applicationofartificialneuralnetworkanndevelopmentofcentralbasedanncebaann AT yoontaeseon applicationofartificialneuralnetworkanndevelopmentofcentralbasedanncebaann AT jeongchaeyoon applicationofartificialneuralnetworkanndevelopmentofcentralbasedanncebaann |
_version_ |
1724314251890262016 |