Shape representation and invariant description of protein tertiary structure in applications to shape retrieval and classification

被引：0
|
作者：
Xu, Dong [1 ,2 ]
Li, Hua [1 ,2 ]
Gu, Tongjun [3 ]
机构：
[1] Chinese Acad Sci, Key Lab Comp Syst & Architecture, Beijing 100864, Peoples R China
[2] Chinese Acad Sci, Natl Res Ctr Intelligent Comp Syst, Inst Comp Technol, Beijing, Peoples R China
[3] Chinese Acad Sci, Ctr Syst Biol, Inst Biophys, Beijing, Peoples R China
来源：
ADVANCES IN GEOMETRIC MODELING AND PROCESSING | 2008年 / 4975卷
关键词：
triangulated surface; shape retrieval; moment invariants;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Each protein tertiary structure is represented by three sorts of geometric models, which are polyline curves, triangulated surfaces and volumetric solids. Moment invariants are employed to describe the shapes of the three kinds of protein models and form a multidimensional feature vector for each model. We further analyze the influence of the three representations in applications to protein shape retrieval and classification.
引用
收藏
页码：556 / +
页数：2
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