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

A ranking-based method to predict protein function in terms of gene ontology

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

2 Author(s)
Jain, D. ; Sch. Of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Chee Keong Kwoh

In the post genomic era, protein function prediction has become the focus of many researches. Methods that predict function from the high-throughput experimental screening have gained popularity due to the reduced cost of conducting genome wide functional screening. In this work we predict the function of uncharacterized proteins by ranking the functions based on the protein interaction data with the help of gene ontology terms. We used Neighbor counting, Chi-square, S-weight, and FS-weight methods to predict the functions of a set of 100 un-annotated proteins. Among them, the ZNF24 and VDP proteins, which were predicted to be involved in transcription regulation and vesicle mediated transport, respectively, obtained the best results. In confirmation, our results were mostly confirmed by Pfam and WoLF Psort shows possible reliability of our method, and it therefore can be applied in protein function prediction when the prior knowledge such as sequences or structures is still not available.

Published in:

Defense Science Research Conference and Expo (DSR), 2011

Date of Conference:

3-5 Aug. 2011

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.