Study of peptides QSAR based on multidimensional attributes (E) using multiple linear regression

Advanced Materials Research

Volumn 345, Issue , 2012, Pages 263-269

  Yin, Jiajian ^a  

^a University of Sichuan Agriculture   (China)

Author keywords

Amino acid descriptors; Bitter tasting peptide; Bradykinin potentiating peptides; Multiple linear regression; QSAR

Indexed keywords

BIOACTIVE PEPTIDES; DESCRIPTORS; DI-PEPTIDES; LEAVE-ONE-OUT CROSS VALIDATIONS; MULTIDIMENSIONAL ATTRIBUTES; MULTIPLE CORRELATION COEFFICIENTS; MULTIPLE LINEAR REGRESSION; MULTIPLE LINEAR REGRESSIONS; NET CHARGES; PENTAPEPTIDES; PEPTIDE DRUGS; QSAR; QSAR ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDIES; REGRESSION COEFFICIENT; STRUCTURE CHARACTERIZATION;

AMINO ACIDS; CHARACTERIZATION; COMPUTATIONAL CHEMISTRY; INTELLIGENT MATERIALS; LINEAR REGRESSION; NANOTECHNOLOGY;

PEPTIDES;

EID: 80053588334     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.345.263     Document Type: Conference Paper

References (23)

1. S.Wold, L.Eriksson, S.Hellberg, et al., "Principal property values for six non-natural amino acids and their application to a structure-activity relationship for oxytocin peptide analogues", Can. J. Chem., 1987,65, pp.1814-1820. (Pubitemid 17148573)
2. C.Raychaudhury, A.Banerjee, P.Bag, et al., "Topological shape and size of peptides: Identification of potential allele specific helper T cell antigenic sites", J.Chem. Inf. Comp. Sci., 1999,39, pp.248-254. (Pubitemid 129538911)
3. S.S.Liu, C. S.Yin, Z. L.Li, et al., "A novel MHDV descriptor for dipeptide QSAR studies", J.Chin. Chem. Soc.,2001, 48, pp.253-260.
4. P.H.Sneath, "Relations between chemical structure and biological activity in peptides", J. Theor. Biol., 1966,12, pp.157-195.
5. A.Kidera, Y.Konishi, M.Oka, et al., "A statistical analysis of the physical properties of the 20 naturally occuring amino acids", J. Protein Chem., 1985,4, pp.23-55. (Pubitemid 15245426)
6. S.Hellberg, L.Eriksson, J.Jonsson, et al., "Minimum analogue peptide sets (MAPS) for quantitative structure-activity relationships", Int. J. Pept. Protein Res., 1991,37,pp. 414-424.
7. S.Hellberg, M.Sjostrom, B.Skagerberg, et al., "Peptide quantitative structure-activity relationships,a multivariate approach", J. Med. Chem., 1987, 30, pp.1126-1135. (Pubitemid 17117970)
8. S.Hellberg, M.Sjostrom, S.Wold, "The prediction of bradykinin potentiating potency of pentapeptides: An example of a peptide quantitative structure-activity relationship", Acta Chem. Scand., 1986, 40, pp.135-140.
9. J.Jonsson, L.Eriksson, S.Hellberg, et al., "Multivariate parameterization of 55 coded and noncoded amino acids. Quantitative Structure-Activity Relationship", 1989, 8, pp.204-209. (Pubitemid 19242014)
10. M.Sandberg, L.Eriksson, J.Jonsson, et al., "New chemical descriptors for the design of biologically active peptides: A multivariate charater-rization of 87 amino acids", J. Med. Chem., 1998, 41, pp.2481-2491. (Pubitemid 28321898)
11. E.R.Collantes, W.J.Dunn, "Amino acid side chain descriptors for quantitative structure-activity relationship studies of peptide analogues", J.Med.Chem., 1995, 38, pp.2705-2713.
12. A.Zaliani, E.Gancia, "MS-WHIM scores for amino acids: a new 3Ddescription for peptide QSAR and QSPR studie", J.Chem. Inf. and Comp. Sci., 1999, 39, pp.525-533. (Pubitemid 129539208)
13. H.Mei, Z.H.Liao, Y.Zhou, et al., "A new descriptor of amino acids and its application in peptide QSARs", Biopolymers(pept. Sci.), 2005, 80(6), pp.775-786. (Pubitemid 43266584)
14. F.F.Tian, P.Zhou, Z.L.Li, "T-Scale as a novel vector of topological descriptors for amino acids and its application in QSARs of peptides", J. Mol. Struc.-THEOCHEM, 2007, 830, pp.106-115. (Pubitemid 46216323)
15. J.B.Tong, S.L.Liu, P.Zhou, et al., "A novel descriptor of amino acids and its application in peptide QSAR", J.Theor.Biol., 2008, 253, pp.90-97.
16. M.S.Venkatarajan, W.Braun, "New quantitative descriptors of amino acids based on multidimensional scaling of a large number of physical-chemical properties", J. Mol. Model., 2001, 7, pp.445-453. (Pubitemid 36153531)
17. A M.sao, H.Iwamara, M.Akamatsu, et al., "Quantitative structure-activity relationships of bitter thresholds of amino acids, peptides and their derivatives", J.Med. Chem., 1987, 30(10), pp.1873-1879.
18. E L.riksson, E.Johansson, N.Kettaneh-Wold, et al., "Multi- and megavariate data analysis: principle and application", Umea, Sweden: Umetrics AB, 2001.
19. M.Cocchi, E.Johansson, "Amino acids characterization by GRID and multivariate data analysis", Quant. Struc.-Act. Rel., 1993, 12, pp.1-8. (Pubitemid 23128715)
20. S.Z.Li, B.H.Fu, Y.Q.Wang, S.S.Liu, "On structural parameterization and molecular modeling of peptide analogues by molecular electronegativity-edge vector (VMEE): estimation and prediction for biological activity of pentapeptides", J. Chin. Chem. Soc., 2001, 48, pp.937-944. (Pubitemid 33724449)
21. P.Zhou, Y.Zhou, S.R.Wu, et al., "A new descriptor of amino acids based on the threedimensional vector of atomic interaction field", Chin. Sci. Bull. 2006, 51(5), pp.524-529. (Pubitemid 44422175)
22. G.Z.Liang, P.Zhou, Y.Zhou, et al., "New descriptors of amino acids and their applications to peptide quantitative structure activity relationship", Acta Chim. Sin., 2006, 64(5), pp.393-396. (Pubitemid 44643919)
23. Z.H.Lin, H.X.Long, Z.Bo, et al.,"New descriptors of amino acids and their application to peptide QSAR study",Peptides,2008,28, pp.1798-1805.