Mining protein primary structure data using committee machines approach to predict protein contact map

Habibi, NK, Mahdaviani, K and Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912 2008, Mining protein primary structure data using committee machines approach to predict protein contact map , in: 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008., 18-19 October 2008, Rawalpindi, Pakistan,.

PDF - Published Version Restricted to Repository staff only Download (2MB) | Request a copy

Abstract

Committee machines approach has shown to be useful in different applications. Protein primary structure data contain valuable information to extract. In this paper we mine these data and predict protein contact map based on committee machines. Contact map is the simplified, two dimensional representation of protein spatial structure. Contact map prediction is of great interest due to its application in fold recognition and predicting protein tertiary structure. The results show that the performance of the committee is considerably better than a single model.

Item Type:	Conference or Workshop Item (Paper)
Themes:	Health and Wellbeing
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Proceedings of 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008.
Publisher:	IEEE
Refereed:	Yes
Depositing User:	Prof. Mo Saraee
Date Deposited:	03 Nov 2011 15:56
Last Modified:	16 Feb 2022 13:30
URI:	https://usir.salford.ac.uk/id/eprint/18829

Actions (login required)

Edit record (repository staff only)