IEICE TRANSACTIONS on Information
Using Bregmann Divergence Regularized Machine for Comparison of Molecular Local Structures
Summary :
Although many 3D structures have been solved for proteins to date, functions of some proteins remain unknown. To predict protein functions, comparison of local structures of proteins with pre-defined model structures, whose functions have been elucidated, is widely performed. For the comparison, the root mean square deviation (RMSD) has been used as a conventional index. In this work, adaptive deviation was incorporated, along with Bregmann Divergence Regularized Machine, in order to detect analogous local structures with such model structures more effectively than the conventional index.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.275-278
- Publication Date
- 2016/01/01
- Publicized
- 2015/10/06
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8104
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Raissa RELATOR
Gunma University
Nozomi NAGANO
AIST Computational Biology Research Center
Tsuyoshi KATO
Gunma University
Keyword
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Raissa RELATOR, Nozomi NAGANO, Tsuyoshi KATO, "Using Bregmann Divergence Regularized Machine for Comparison of Molecular Local Structures" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 1, pp. 275-278, January 2016, doi: 10.1587/transinf.2015EDL8104.
Abstract: Although many 3D structures have been solved for proteins to date, functions of some proteins remain unknown. To predict protein functions, comparison of local structures of proteins with pre-defined model structures, whose functions have been elucidated, is widely performed. For the comparison, the root mean square deviation (RMSD) has been used as a conventional index. In this work, adaptive deviation was incorporated, along with Bregmann Divergence Regularized Machine, in order to detect analogous local structures with such model structures more effectively than the conventional index.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8104/_p
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@ARTICLE{e99-d_1_275,
author={Raissa RELATOR, Nozomi NAGANO, Tsuyoshi KATO, },
journal={IEICE TRANSACTIONS on Information},
title={Using Bregmann Divergence Regularized Machine for Comparison of Molecular Local Structures},
year={2016},
volume={E99-D},
number={1},
pages={275-278},
abstract={Although many 3D structures have been solved for proteins to date, functions of some proteins remain unknown. To predict protein functions, comparison of local structures of proteins with pre-defined model structures, whose functions have been elucidated, is widely performed. For the comparison, the root mean square deviation (RMSD) has been used as a conventional index. In this work, adaptive deviation was incorporated, along with Bregmann Divergence Regularized Machine, in order to detect analogous local structures with such model structures more effectively than the conventional index.},
keywords={},
doi={10.1587/transinf.2015EDL8104},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Using Bregmann Divergence Regularized Machine for Comparison of Molecular Local Structures
T2 - IEICE TRANSACTIONS on Information
SP - 275
EP - 278
AU - Raissa RELATOR
AU - Nozomi NAGANO
AU - Tsuyoshi KATO
PY - 2016
DO - 10.1587/transinf.2015EDL8104
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - Although many 3D structures have been solved for proteins to date, functions of some proteins remain unknown. To predict protein functions, comparison of local structures of proteins with pre-defined model structures, whose functions have been elucidated, is widely performed. For the comparison, the root mean square deviation (RMSD) has been used as a conventional index. In this work, adaptive deviation was incorporated, along with Bregmann Divergence Regularized Machine, in order to detect analogous local structures with such model structures more effectively than the conventional index.
ER -
English
