%0 Journal Article
%T Protein Secondary Structure Prediction Algorithm Based on Mixed-SVM Method<br>基于混合SVM方法的蛋白质二级结构预测算法
%A SUI Hai-feng
%A QU Wu
%A QIAN Wen-bin
%A YANG Bing-ru
%A <br>隋海峰
%A 曲武
%A 钱文彬
%A 杨炳儒
%J 计算机科学
%D 2011
%I 
%X Protein secondary structure prediction is one of the most important problems in bioinformatics. I}he protein secondary structure prediction accuracy plays an important role in the field of protein structure research. In this paper, using a Knowledge Discovery Theory based on the Inner Cognitive Mechanism (KDTICM) , an efficient protein seconda- ry structure prediction algorithm based on mixed-SVM ( support vector machine) approach was proposed. The algo- rithm makes full use of the evolutionary information contained in the physicochemical properties of each amino acid and a position- specific scoring matrix generated by a PSI-SEARCH multiple sequence alignment, secondary structure can be predicted at significantly increased accuracy. At last, the experiments were used to show the superior accuracy and gen- erality of the new algorithm than other classical algorithm.
%K Protein secondary structure prediction
%K Mixed-SVM method
%K Compound pyramid model<br>蛋白质二级结构预测，混合SVM方法，复合金字塔模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79395EF5BE66EB4EF1&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=954CE65414DD94CA&eid=DABEF202280E7EF1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0