A hybrid approach to combine HMM and SVM methods for the prediction of the transmembrane spanning region

Authors:
Min Kyung Kim;Chul Hwan Song;Seong Joon Yoo;Sang Ho Lee;Hyun Seok Park
Affiliations:
Department of Computer Science and Engineering, Ewha University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Department of Computer Science and Engineering, Ewha University, Seoul, Korea;Department of Computer Science and Engineering, Ewha University, Seoul, Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

Transmembrane proteins are the primary targets for the development of new drugs, and a number of algorithms that predict transmembrane topology are publicly available on the Web. In this paper, we present a novel approach using both SVM and HMM methods and we demonstrate that our system outperform the previous systems which only use either HMM methods or SVM methods alone.