Cart (Loading....) | Create Account
Close category search window
 

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ying Zhou ; Lauterbur Biomed. Imaging Center, Chinese Acad. of Sci., Shenzhen, China ; Jun Jiang ; Hairong Zheng

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 k- dimensional 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.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.