3D Protein Structure Similarity Comparison Using a Angular-Invariant Feature Registration Method

摘要：

This paper proposes an angular invariant feature for registration procedure to perform reliable matching between two similarity 3D protein structures. The feature is defined by a kdimensional vector with k angles between the normal vector of each point and its k-nearest-neighbors individually. The feature is invariant to scale transformation, rotation transformation. We present that an angular augment coefficient should be set to avoid rounding error of computer. This new invariant feature makes defect detection of 3D protein structures, faster and more robust.

关键词： 3D protein structure similarity comparison registration angular-invariant feature k-nearest-neighbors

作者: Ying Zhou Jun Jiang Hairong Zheng

作者单位: Lauterbur Biomedical Imaging Center,Institute of Biomedical and Health Engineering.Shenzhen Institut Department of Control Science and Engineering,School of Astronautics,Harbin Institute of Technology

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）