Inferring transmembrane region counts with hydropathy index/charge two dimensional trajectories of stochastic dynamical systems

D. Muramatsu, S. Hashimoto, T. Tsunashima, T. Kaburagi, M. Sasaki, T. Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-110
Number of pages10
ISBN (Electronic)0780381777
DOIs
Publication statusPublished - 2003 Jan 1
Externally publishedYes
Event13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, France
Duration: 2003 Sept 172003 Sept 19

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2003-January

Other

Other13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003
Country/TerritoryFrance
CityToulouse
Period03/9/1703/9/19

ASJC Scopus subject areas

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

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