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Liu Gui-xia, Zhu Yuan-xian, Zhou Wen-gang, Huang Yan-xin, Zhou Chun-guang, Wang Rong-xing
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Abstract: 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 residue separation between two residues. In our work, a dataset was used which was composed of 53 globulin proteins of known 3D structure. An average predictive accuracy of 0.29 was obtained. Our results demonstrate the viability of the approach for predicting contact maps.
Key words: recurrent neural network, contact map, protein structure
Liu Gui-xia, Zhu Yuan-xian, Zhou Wen-gang, Huang Yan-xin, Zhou Chun-guang, Wang Rong-xing. A Study on Protein Residue Contacts Prediction by Recurrent Neural Network[J].J4, 2005, 2(3): 157-160.
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http://jbe.jlu.edu.cn/EN/Y2005/V2/I3/157
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