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Identification of encoding proteins related to SARS-CoV 被引量：2

Identification of encoding proteins related to SARS-CoV
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摘要 By sampling 100 encoding proteins from SARS-coronavirus (SARS-CoV, NC 004718) and other six coronaviruses and selecting 23 variables through stepwise multiple regression (SMR) from 172 variables, the multiple linear regression (MLR) model was established with good results of the quantitative modelling correlation coefficient R2 = 0.645 and the cross-validation correlation coefficient RCV = 0.375. After removing 4 outliers, the quantitative 2 modelling and cross-validation correlation coefficients were R2= 0.743 and RCV = 0.543, respectively. By sampling 100 encoding proteins from SARS-coronavirus (SARS-CoV, NC 004718) and other six coronaviruses and selecting 23 variables through stepwise multiple regression (SMR) from 172 variables, the multiple linear regression (MLR) model was established with good results of the quantitative modelling correlation coefficient R2 = 0.645 and the cross-validation correlation coefficient RCV = 0.375. After removing 4 outliers, the quantitative 2 modelling and cross-validation correlation coefficients were R2= 0.743 and RCV = 0.543, respectively. 2
作者 MEIHu SUNLili ZHOUYuan XIONGQing LIhiliang
机构地区 CollegeofChemistryandChemicalEngineering.ChongqingUniversity.Chongqing KeyLaboratoryofBiomedicalEngineeringofMinistryofEducationandChongqingCity CollegeofBioengineering
出处 《Chinese Science Bulletin》 SCIE EI CAS 2004年第19期2037-2040,共4页
关键词 SARS-COV SMR NC SARS-CoV,coronavirus,multiple linear regression (MLR),stepwise multiple regression (SMR),encoding protein,identification.
分类号 R563.1 [医药卫生—呼吸系统]
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参考文献8

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同被引文献8

引证文献2

  • 1LI ZhiLiang1,2, WU ShiRong1,2, CHEN ZeCong1,2, YE Nancy1,2, YANG ShengXi1,2, LIAO ChunYang1,2, ZHANG MengJun1,2,3, YANG Li1,2, MEI Hu1,2,4, YANG Yan1,2, ZHAO Na1,2, ZHOU Yuan1,2, ZHOU Ping1,2, XIONG Qing1,2, XU Hong1,2, LIU ShuShen1,2, LING ZiHua1,2, CHEN Gang1,2,4 & LI GenRong1,2 1 College of Chemistry and Chemical Engineering/Key Laboratory for Chemobiomedical Science and Engineering under Chongqing Municipality, College of Life Science and Biological Engineering/Key Laboratory for Biomechanics and Tissue Engineering under Ministry of Education, Chongqing University, Chongqing 400044, China,2 State Key Laboratory for Chemobiosensors and Chemobiometrics under MOST at Hunan University, Changsha 410012, China,3 Department of Medical Analysis/PLA Center of Bioinformatics Immunology, Surgeon Third University, Chongqing 400031, China,4 Technology Centre for Life Sciences, Singapore Polytechnic, 500 Dover Road, Singapore 139651, Singapore.Structural parameterization and functional prediction of antigenic polypeptome sequences with biological activity through quantitative sequence-activity models (QSAM) by molecular electronegativity edge-distance vector (VMED)[J].Science China(Life Sciences),2007,50(5):706-716. 被引量：1
  • 2LIANG GuiZhao,CHEN ZeCong,YANG ShanBin,MEI Hu,ZHOU Yuan,YANG Li,ZHOU Peng,YANG ShengXi,SHU Mao,LIAO ChunYang,WU ShiRong,LI GenRong,HE Liu,GAO JianKun,Gan MengYu,LI DeJing,CHEN GuoPing,WANG GuiXue,LONG Sha,JING JuHua,ZHENG XiaoLin,ZENG Hui,ZHANG QiaoXia,ZHANG MengJun,YANG Qi,TIAN FeiFei,TONG JianBo,WANG JiaoNa,LIU YongHong,LI Bo,QIU LiangJia,CAI ShaoXi,ZHAO Na,YANG Yan,SU XiaLi,SONG Jian,CHEN MeiXia,ZHANG XueJiao,SUN JiaYing,LI JingWei,CHEN GuoHua,CHEN Gang,DENG Jie,PENG ChuanYou,ZHU WanPing,XU LuoNan,WU YuQuan,LIAO LiMin,LI Zhi,LI Jun,LU DaJun,SU QinLiang,HUANG ZhengHu,ZHOU Ping,LI ZhiLiang.Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis[J].Science China Chemistry,2008,51(2):166-170.

二级引证文献1

Chinese Science Bulletin
2004年 第19期

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