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 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.
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Keyword(in English) data-mining / nuclear magnetic resonance analysis / protein-structure determination / optimization method
Paper # NLP2005-26
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Committee NLP
Conference Date 2005/6/16(1days)
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Registration To Nonlinear Problems (NLP)
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
Date of Issue