Presentation | 2006-01-24 On Global Optimization for Distance Geometry Problems Ryoji USUI, Shinji DOI, Sadatoshi KUMAGAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The distance geometry problem is the problem that we calculate the coordinates of atoms from the distance data between atoms. In this research, we solve the distance geometry problem by utilizing the optimization technique by using a Gaussian objective function, the stochastic approach and the combination of these techniques, and compare each performance in detail. In particular, we apply these techniques to the determination of protein structures and show the effectiveness of our techniques. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | distance geometry problem / global optimization / Gaussian objective function / molecular structure / stochastic proximity embedding / small-world network |
Paper # | NLP2005-100 |
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Committee | NLP |
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Conference Date | 2006/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On Global Optimization for Distance Geometry Problems |
Sub Title (in English) | |
Keyword(1) | distance geometry problem |
Keyword(2) | global optimization |
Keyword(3) | Gaussian objective function |
Keyword(4) | molecular structure |
Keyword(5) | stochastic proximity embedding |
Keyword(6) | small-world network |
1st Author's Name | Ryoji USUI |
1st Author's Affiliation | Graduate School of Engineering, Osaka University() |
2nd Author's Name | Shinji DOI |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
3rd Author's Name | Sadatoshi KUMAGAI |
3rd Author's Affiliation | Graduate School of Engineering, Osaka University |
Date | 2006-01-24 |
Paper # | NLP2005-100 |
Volume (vol) | vol.105 |
Number (no) | 547 |
Page | pp.pp.- |
#Pages | 6 |
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