【作者】 孙海军； 阮晓钢；

【Author】 Sun Haijun Ran Xiaogang (Electronic Information and Control Engineering School Beijing University of Technology, Beijing, 100022)

【机构】 北京工业大学；

【摘要】 本文主要通过运用前向型BP神经网络来比较正交编码、5位编码、Codon(密码子)编码和 Profile编码等4种常用氨基酸序列络编码方式对蛋白质二级结构预测准确度的影响。实验结果表明: 用富含“生物进化信息”的Profile编码方式可以得到较高的预测结果。更多还原

【Abstract】 This paper mainly discussed the effect of encoding of amino acids on the protein secondary structure prediction by using artificial neural network. Four encodes that we have used are Orthogonal Encoding, Five Encoding, Codon Encoding and Profile Encoding. Results indicated that Profile encoding that preserves the redundant evolutionary information got higher prediction performance.更多还原