Presentation	2012/6/21 Comparison of the protein molecular surface by using the local features in 3D images NATSUMI KURUMATANI, TAKENAO OHKAWA,
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Abstract(in English)	To explain the relationships between functions and structures of proteins, it is important to identify locally similar sites on protein molecular surfaces by comparing protein 3D structures. In this paper, we propose a method of comparing protein structures, in which the molecular surfaces are regarded as 3D images and the similarity between them is calculated by detecting keypoints from the images and computing local features at each keypoint. We applied the proposed method to prediction of protein's binding sites, which shows the accurate prediction of binding sites in six out of eleven proteins.
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Keyword(in English)	local features / protein structures / SIFT / 3D image
Paper #	Vol.2012-BIO-29 No.14
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Conference Information
Committee	NC
Conference Date	2012/6/21(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
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Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Comparison of the protein molecular surface by using the local features in 3D images
Sub Title (in English)
Keyword(1)	local features
Keyword(2)	protein structures
Keyword(3)	SIFT
Keyword(4)	3D image
1st Author's Name	NATSUMI KURUMATANI
1st Author's Affiliation	Kobe University, Graduate School of System Informatics()
2nd Author's Name	TAKENAO OHKAWA
2nd Author's Affiliation	Kobe University, Graduate School of System Informatics
Date	2012/6/21
Paper #	Vol.2012-BIO-29 No.14
Volume (vol)	vol.112
Number (no)	108
Page	pp.pp.-
#Pages	6
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