Skip to the content

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

Habibi, NK, Mahdaviani, K and Saraee, M 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,.

[img] PDF - Published Version
Restricted to Repository staff only

Download (2020kB) | 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: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: Proceedings of 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008.
    Publisher: IEEE
    Refereed: Yes
    Depositing User: Dr Mo Saraee
    Date Deposited: 03 Nov 2011 15:56
    Last Modified: 20 Aug 2013 18:17
    URI: http://usir.salford.ac.uk/id/eprint/18829

    Actions (login required)

    Edit record (repository staff only)

    Downloads per month over past year

    View more statistics