### 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.

Original language | English |
---|---|

Title of host publication | 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003 |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

Pages | 101-110 |

Number of pages | 10 |

ISBN (Electronic) | 0780381777 |

DOIs | |

Publication status | Published - 2003 Jan 1 |

Event | 13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, France Duration: 2003 Sep 17 → 2003 Sep 19 |

### Publication series

Name | Neural Networks for Signal Processing - Proceedings of the IEEE Workshop |
---|---|

Volume | 2003-January |

### Other

Other | 13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 |
---|---|

Country | France |

City | Toulouse |

Period | 03/9/17 → 03/9/19 |

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Artificial Intelligence
- Software
- Computer Networks and Communications
- Signal Processing

## Fingerprint Dive into the research topics of 'Inferring transmembrane region counts with hydropathy index/charge two dimensional trajectories of stochastic dynamical systems'. Together they form a unique fingerprint.

## Cite this

Muramatsu, D., Hashimoto, S., Tsunashima, T., Kaburagi, T., Sasaki, M., & Matsumoto, T. (2003). Inferring transmembrane region counts with hydropathy index/charge two dimensional trajectories of stochastic dynamical systems. In

*2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003*(pp. 101-110). [1318008] (Neural Networks for Signal Processing - Proceedings of the IEEE Workshop; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NNSP.2003.1318008