Acta Chimica Sinica ›› 2012, Vol. 70 ›› Issue (01): 83-91.DOI: 10.6023/A1107012 Previous Articles     Next Articles

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刘静a,b, 管骁c, 彭剑秋c   

  1. a. 江南大学食品科学与技术国家重点实验室, 无锡 214122;
    b. 上海海事大学信息工程学院, 上海 201306;
    c. 上海理工大学医疗器械与食品学院, 上海 200093
  • 收稿日期:2011-07-01 修回日期:2011-08-23 出版日期:2012-01-14 发布日期:2012-02-25
  • 通讯作者: 管骁
  • 基金资助:


QSAR Study on ACE Inhibitory Peptides Based on Amino Acids Descriptor SHVHES

Liu Jinga,b, Guan Xiaoc, Peng Jianqiuc   

  1. a. State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122;
    b. College of Information Engineering, Shanghai Maritime University, Shanghai 201306;
    c. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093
  • Received:2011-07-01 Revised:2011-08-23 Online:2012-01-14 Published:2012-02-25
  • Supported by:

    Project supported by the National Natural Science Foundation of China(No.31101348),Shanghai Chenguang Program(Nos.2008CG55,2009CG50)and the Open Project Program of State Key Laboratory of Food Science and Technology,Jiangnan University(No.SKLF-KF-201106).

457 physicochemical properties indexes of 20 natural amino acids were collected and classified according to hydrophobic,electronic properties,hydrogen bonds contributions and steric properties.The new amino acid structure descriptor SVHEHS was obtained through principal component analysis of four panels of variables.The descriptor was used to characterize the structures of ACE inhibitory dipeptides, tripeptides and tetrapeptides,and partial least square regression (PLS) models with biological activities were achieved.The correlative coefficient (R2),the cross-validation correlative coefficient(QLOO2),root mean square error(RMSE)and external validation correlative coefficient (Qext2) of three models were 0.607, 0.507,0.587,0.783;0.852,0.813,0.232,0.839;and 1,1,0,0.935,respectively.The results showed that the PLS models constructed by this descriptor had good fitting and predictive abilities,and could be used for quantitative structure activity relationship(QSAR)research of ACE inhibitory peptides.

Key words: amino acids descriptor, angiotensinⅠconverting enzyme-inhibitory peptide, partial least square regression, quantitative structure-activity relationship