%0 Journal Article
%T A Study on the Pattern Recognition of Thermophilic and Mesophilic Proteins<br>嗜热和常温蛋白模式识别的研究
%A ZHANG Guang-Ya
%A FANG Bai-Shan
%A <br>张光亚
%A 方柏山
%J 生物工程学报
%D 2005
%I 
%X Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis, partial least-square regression and BP neural network. The results showed that the fitting accuracy of the three methods was 92% , 95% and 98% , respectively. And the forecasting accuracy was 60% , 72.5% and 72.5%, respectively. The best forecasting accuracy for thermophilic proteins was 75%, and for mesophilic proteins was 85%. A mathematical model was established and the biological meaning of it was expatiated on, a new method to discriminate the thermophilic and mesophilic proteins based on their sequences was established here.
%K pattern recognition
%K principle component analysis
%K partial least-square regression
%K BP neural network
%K thermostability<br>模式识别，主成分分析，偏最小二乘回归，BP神经网络，热稳定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=A66E90C274451689E69F6F0291467824&aid=C77D7CDD95683FCA&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=40700C9CB4E84E3B&eid=5357CC5E80802025&journal_id=1000-3061&journal_name=生物工程学报&referenced_num=0&reference_num=13