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

A Protein Secondary Structure Prediction Tool Using Two-Level Strategy to Improve the Prediction Accuracy of Secondary Structures and Structure Boundaries

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)
Duan Mojie ; Hubei Bioinf. & Mol. Imaging Key Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Zhou Yanhong ; Huang Huiyan

An important limitation of current protein secondary structure prediction tools is the bad performance in locating the secondary structure boundaries. Efficiently utilize the residue position-specific preference around secondary structure boundaries can help to resolve this problem. TLSSP (two level secondary structure predictor), proposed in this study, used a two-level strategy to utilize these properties efficiently and find the optimal global secondary structure. In TLSSP a set of binary classifiers were designed to recognize the boundaries of helices and strands firstly, then a global model based on condition random fields (CRFs) was built to predict the secondary structures. Five-fold cross-validation test on EVA dataset (containing 3744 proteins provided by EVA service) indicated that, TLSSP can get quite good performance on both boundaries prediction and global secondary structure prediction.

Published in:

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Date of Conference:

19-20 Dec. 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.