Transmembrance region prediction with hydropathy index/charge two-dimensional trajectories of stochastic dynamical systems

Authors:
T. Kaburagi;D. Muramatsu;S. Hashimoto;M. Sasaki;T. Matsumoto
Affiliations:
Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan;Waseda University, Tokyo, Japan
Venue:
APBC '04 Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29
Year:
2004

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Abstract

A new algorithm is proposed for predicting transmembrane regions from two dimensional vector trajectories consisting of hydropathy index and charge of a test amino acid sequence by stochastic dynamical system models. The prediction accuracy of a preliminary experiment is 96.09%. Since no fine-tuning is done, this appears encouraging.