Presentation | 2005-06-23 Application of the Stochastic Proximity Embedding to the Determination of Molecular Structures Hiroyuki KASHIMA, Shinji DOI, Sadatoshi KUMAGAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a novel method of molecular-structure determination under a condition that a set of upper and lower distance bounds rather than precise inter-atomic distances are given, by using the Stochastic Proximity Embedding. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | data-mining / nuclear magnetic resonance analysis / protein-structure determination / optimization method |
Paper # | NLP2005-26 |
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Committee | NLP |
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Conference Date | 2005/6/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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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) | Application of the Stochastic Proximity Embedding to the Determination of Molecular Structures |
Sub Title (in English) | |
Keyword(1) | data-mining |
Keyword(2) | nuclear magnetic resonance analysis |
Keyword(3) | protein-structure determination |
Keyword(4) | optimization method |
1st Author's Name | Hiroyuki KASHIMA |
1st Author's Affiliation | Department of Electrical Engineering, Graduate School of Engineering, Osaka University() |
2nd Author's Name | Shinji DOI |
2nd Author's Affiliation | Department of Electrical Engineering, Graduate School of Engineering, Osaka University |
3rd Author's Name | Sadatoshi KUMAGAI |
3rd Author's Affiliation | Department of Electrical Engineering, Graduate School of Engineering, Osaka University |
Date | 2005-06-23 |
Paper # | NLP2005-26 |
Volume (vol) | vol.105 |
Number (no) | 125 |
Page | pp.pp.- |
#Pages | 6 |
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