Literature DB >> 3705868

The prediction of bradykinin potentiating potency of pentapeptides. An example of a peptide quantitative structure-activity relationship.

S Hellberg, M Sjöström, S Wold.   

Abstract

The variation in amino acid sequence, in a set of bradykinin potentiating pentapeptides, is described by three variables per amino acid position. The variables were derived from a principal components analysis of a property matrix for the 20 coded amino acids. The resulting structure descriptor matrix describes the observed activity of the peptides to 97% by means of a multivariate partial least squares (PLS) model. It is demonstrated that this quantitative structure-activity relationship (QSAR) can be used to predict the activity of new peptide analogs.

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Year:  1986        PMID: 3705868     DOI: 10.3891/acta.chem.scand.40b-0135

Source DB:  PubMed          Journal:  Acta Chem Scand B        ISSN: 0302-4369


  14 in total

1.  QSAR study on angiotensin-converting enzyme inhibitor oligopeptides based on a novel set of sequence information descriptors.

Authors:  Xiaoyu Wang; Juan Wang; Yong Lin; Yuan Ding; Yuanqiang Wang; Xiaoming Cheng; Zhihua Lin
Journal:  J Mol Model       Date:  2010-10-13       Impact factor: 1.810

2.  Towards the chemometric dissection of peptide--HLA-A*0201 binding affinity: comparison of local and global QSAR models.

Authors:  Irini A Doytchinova; Valerie Walshe; Persephone Borrow; Darren R Flower
Journal:  J Comput Aided Mol Des       Date:  2005-03       Impact factor: 3.686

Review 3.  Protein quadratic indices of the "macromolecular pseudograph's alpha-carbon atom adjacency matrix". 1. Prediction of Arc repressor alanine-mutant's stability.

Authors:  Yovani Marrero Ponce; Ricardo Medina Marrero; Eduardo A Castro; Ronal Ramos de Armas; Humberto González Díaz; Vicente Romero Zaldivar; Francisco Torrens
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

4.  Perspectives in QSAR: computer chemistry and pattern recognition.

Authors:  R M Hyde; D J Livingstone
Journal:  J Comput Aided Mol Des       Date:  1988-07       Impact factor: 3.686

5.  Microbial risk markers for childhood caries in pediatricians' offices.

Authors:  E Kanasi; I Johansson; S C Lu; N R Kressin; M E Nunn; R Kent; A C R Tanner
Journal:  J Dent Res       Date:  2010-02-17       Impact factor: 6.116

6.  A multivariate study of the relationship between the genetic code and the physical-chemical properties of amino acids.

Authors:  M Sjöström; S Wold
Journal:  J Mol Evol       Date:  1985       Impact factor: 2.395

7.  Engineering proteinase K using machine learning and synthetic genes.

Authors:  Jun Liao; Manfred K Warmuth; Sridhar Govindarajan; Jon E Ness; Rebecca P Wang; Claes Gustafsson; Jeremy Minshull
Journal:  BMC Biotechnol       Date:  2007-03-26       Impact factor: 2.563

8.  The components of Huang-Lian-Jie-Du-Decoction act synergistically to exert protective effects in a rat ischemic stroke model.

Authors:  Qian Zhang; Junsong Wang; Chao Zhang; Shanting Liao; Pei Li; Dingqiao Xu; Yan Lv; Minghua Yang; Lingyi Kong
Journal:  Oncotarget       Date:  2016-12-06

9.  Application of fourier transform and proteochemometrics principles to protein engineering.

Authors:  Frédéric Cadet; Nicolas Fontaine; Iyanar Vetrivel; Matthieu Ng Fuk Chong; Olivier Savriama; Xavier Cadet; Philippe Charton
Journal:  BMC Bioinformatics       Date:  2018-10-16       Impact factor: 3.169

10.  Signal peptide amino acid sequences in Escherichia coli contain information related to final protein localization. A multivariate data analysis.

Authors:  M Sjöström; S Wold; A Wieslander; L Rilfors
Journal:  EMBO J       Date:  1987-03       Impact factor: 11.598

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