Performance of four sets of amino acid descriptor scales for evaluating quantitative structure- activity relationships of angiotensin I converting enzyme inhibitory dipeptides

Journal of Food, Agriculture and Environment

Volumn 10, Issue 2, 2012, Pages 227-232

  Guang, Cuie ^a,b   Phillips, Robert D ^b  

^a JIANGNAN UNIVERSITY   (China)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

ACE inhibitory dipeptides; Amino acid descriptors; Partial least square regression; Quantitative structure activity relationship

Indexed keywords

ARGININE; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; LEUCINE; LYSINE; SUBTILISIN; TRYPTOPHAN; VALINE;

ARTICLE; CARBOXY TERMINAL SEQUENCE; CONTROLLED STUDY; COWPEA; DRUG STRUCTURE; FACTORIAL ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 84862224352     PISSN: 14590255     EISSN: 14590263     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Sandberg, M., Eriksson, L., Jonsson, J., Sjöström, M. and Wold, S. 1998. New chemical descriptors relevant for the design of biologically active peptides. A multivariate characterization of 87 amino acids. J. Med. Chem. 41:2481-2491.
2. Sneath, P. H. A. 1966. Relations between chemical structure and biological activity in peptides. J. Theor. Biol. 12:157-195.
3. Hellberg, S., Sjöström, M., Skagerberg, B. and Wold, S. 1987. Peptide quantitative structure-activity relationships, a multivariate approach. J. Med. Chem. 30:1126-1135.
4. Mei, H., Liao, Z., Zhou, Y. and Li, Z. 2005. A new set of amino acid descriptors and its application in peptide QSARs. Biopolymers 80:775-786.
5. Liao, G., Yang, L., Chen, Z., Mei, H., Shu, M. and Li, Z. 2009. A set of new amino acid descriptors applied in prediction of MHC class I binding peptides. Eur. J. Med. Chem. 44:1144-1154.
6. Murray, B. A. and FitzGerald, R. J. 2007. Angiotensin converting enzyme inhibitory peptides derived from food proteins: Biochemistry, bioactivity and production. Curr. Pharm. Design. 13:773-791.
7. Wu, J., Aluko, R. E. and Nakai, S. 2006. Structural requirements of angiotensin I-converting enzyme inhibitory peptides: Quantitative structure-activity relationship study of di-and tripeptides. J. Agric. Food Chem. 54:732-738.
8. Wu, J. and Aluko, R. E. 2007. Quantitative structure-activity relationship study of bitter di-and tri peptides including relationship with angiotensin I-converting enzyme inhibitory activity. J. Pept. Sci. 13:63-69.
9. Pripp, A. H., Isaksson, T., Stepaniak, L. and Sorhaug, T. 2004. Quantitative structure-activity relationship modeling of ACE-inhibitory peptides derived from milk proteins. Eur. Food Res. Technol. 219:579-583.
10. Nash, M. S., Chaloud, D. J. and Franson, S. E. 2005. Association of landscape metrics to surface water biology in the Savannah River basin. J. Math. Stat. 1:29-34.
11. Wold, S., Sjöström, M. and Eriksson, L. 2001. PLS-regression: A basic tool of chemometrics. Chemometr. Intell. Lab. 58:109-130.
12. Nash, M. S. and Chaloud, D. J. 2002. Multivariate analysis (canonical correlation and partial least square (PLS) to model and assess the association of landscape metrics to surface water chemical and biological properties using Savannah River basin data. U. S. EPA. Accessed in October, 2011 from www.epa.gov/esd/land-sci/pdf/073leb03.pdf
13. Wold, S. 1995. PLS for multivariate linear modeling. In van de Waterbeemd, H. (ed.). Chemometric Methods in Molecular Design. VCH, Weinheim, pp. 195-218.
14. Cheung, H., Wang, F., Ondetti, M. A., Sabo, E. F. and Cushman, D. W. 1980. Binding of peptide substrates and inhibitors of angiotensin-converting enzyme. J. Biol. Chem. 255:401-407.