利用随机动力系统的亲水指数/电荷二维轨迹推断跨膜区域计数

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718) Pub Date : 1900-01-01 DOI:10.1109/NNSP.2003.1318008

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

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引用次数: 4

摘要

提出了一种利用随机动力系统模型从亲水指数和氨基酸电荷组成的二维矢量轨迹中推断跨膜蛋白跨膜区域数目的新算法。初步实验的预测精度为94%。由于没有进行微调，这看起来令人鼓舞。

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

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.

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来源期刊

2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718)

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