%0 Journal Article
%T Hybrid model of ANN/HMM for protein secondary structure prediction<br>应用ANN/HMM混合模型预测蛋白质二级结构*
%A SHI Ou-yan
%A YANG Hui-yun
%A YANG Jing
%A TIAN Xin
%A <br>石鸥燕
%A 杨惠云
%A 杨晶
%A 田心
%J 计算机应用研究
%D 2008
%I 
%X Aimed at the lower accuracy of 3-state hidden Markov model for protein secondary structure prediction,proposed 15-state HMM.Using modified algorithm of HMM to predict secondary structure combined with BP neural networks.Selected 492 proteins from the dataset CB513,and divided them into 7 even subsets.Applied the hybrid model to predict secondary structure and evaluated its accuracy by 7-fold cross validation.The hybrid model appeared to be very efficient,with Q3 score of 77.21% and SOV of 72.52%.The results show that the hybrid model not only captures the local information,but also considers the long-distance information.So it gets higher prediction accuracy.
%K protein secondary structure prediction(HMM)
%K hidden Markov model
%K artificial neural network(ANN)<br>蛋白质二级结构预测
%K 隐马尔可夫模型
%K 人工神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=060E999A6C3253F901C1A9CFA720B0E1&yid=67289AFF6305E306&vid=C5154311167311FE&iid=59906B3B2830C2C5&sid=E212AC9DD9209374&eid=0A7106DDBCDE6242&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10