DocumentCode
3238953
Title
Inferring transmembrane region counts with hydropathy index/charge two dimensional trajectories of stochastic dynamical systems
Author
Muramatsu, D. ; Hashimoto, S. ; Tsunashima, T. ; Kaburagi, T. ; Sasaki, M. ; Matsumoto, T.
Author_Institution
Dept. of Electr. Eng. & Bioscience, Waseda Univ., Tokyo, Japan
fYear
2003
fDate
17-19 Sept. 2003
Firstpage
101
Lastpage
110
Abstract
A new algorithm is proposed for inferring the number of transmembrane regions of transmembrane proteins from two dimensional vector trajectories consisting of hydropathy index and charge of amino acids by stochastic dynamical system models. The prediction accuracy of a preliminary experiment is 94%. Since no fine-tuning is done, this appears encouraging.
Keywords
biomembranes; molecular biophysics; proteins; stochastic systems; amino acids; hydropathy charge; hydropathy index; stochastic dynamical systems; transmembrane proteins; transmembrane region counts; vector trajectories; Accuracy; Amino acids; Biomembranes; Data mining; Equations; Feature extraction; Hidden Markov models; Machine learning algorithms; Protein engineering; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on
ISSN
1089-3555
Print_ISBN
0-7803-8177-7
Type
conf
DOI
10.1109/NNSP.2003.1318008
Filename
1318008
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