%0 Journal Article
%T Prediction of G-Protein Coupled Receptors and Their Type<br>G蛋白偶联受体及其类型的预测
%A WU Jiansheng
%A MA Xin
%A ZHOU Tong
%A TANG Lihua
%A HU Dong School of Geography
%A Biological Information
%A Nanjing University of Posts
%A Telecommunications
%A Nanjing
%A China
%A State Key Laboratory of Bioelectronics
%A Southeast University
%A Nanjing
%A <br>吴建盛
%A 马昕
%A 周童
%A 汤丽华
%A 胡栋
%J 生物物理学报
%D 2010
%I 
%X G-protein coupled receptor is a very important signal molecule receptor and its dysfunction may lead to the emergence of many diseases. According to the previous studies, a method combining the feature analysis methods of sequences with support vector machine (SVM) technology was proposed for identifying GPCRs and their type by analyzing the characteristics of sequence differences. Especially, codon use frequencies of mRNA genes translating into GPCR proteins were first selected as the sequence feature, in respect that it is the inherently the fusion of both codon usage bias and amino acid composition signals. The results showed that the optimal SVM classifiers for predicting GPCR sequences and their type were designed by choosing the hybrid feature by combining codon use frequencies of mRNA genes and double amino acid use frequencies and using the RBF kernel as kernel function after considering the performance of all types of SVM classifiers.
%K G-protein coupled receptor
%K Support Vector Machine
%K Codon use frequency<br>G
%K 蛋白偶联受体
%K 支持向量机
%K 绝对密码子使用频率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=D947F37783C77C65B24A4888D7C64C9C&yid=140ECF96957D60B2&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=09E495F616948E78&eid=856C2E13D1000DB7&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=0