A Study on Protein Residue Contacts Prediction by Recurrent Neural Network

A new method was described for using a recurrent neural network with bias units to predict contact maps in proteins. The main inputs to the neural network include residues pairwise, residue classification according to hydrophobicity, polar, acidic, basic and secondary structure information and resid...

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Veröffentlicht in:	Journal of bionics engineering 2005-09, Vol.2 (3), p.157-160
Hauptverfasser:	Liu, Gui-xia, Zhu, Yuan-xian, Zhou, Wen-gang, Huang, Yan-xin, Zhou, Chun-guang, Wang, Rong-xing
Format:	Artikel
Sprache:	eng
Schlagworte:	三维结构 循环神经网络 蛋白质 血红素
Online-Zugang:	Volltext
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