Literature DB >> 11262040

Quantitative structure-activity relationship modeling of peptide and protein behavior as a function of amino acid composition.

K J Siebert1.   

Abstract

A quantitative structure-activity relationship (QSAR) modeling approach based on the location of each amino acid along three axes obtained by principal component analysis (called z scores) was extended to physical and functional properties of proteins, where the proportion of particular amino acids rather than a precise sequence is the determining factor. Coomassie Brilliant Blue spectral responses to amino acid homopolymers (R = 0.926) and proteins, either as a function of their contents of six basic and aromatic amino acids (R = 0.976) or as a function of the contributions of these amino acids to the three z scores (R = 0.935), were modeled. The ultraviolet absorbance of proteins was modeled in terms of the z score contributions of tyrosine, tryptophan, and cysteine (R = 0.995). Modeling many protein functional properties in this manner appears to be possible. An approach to modeling peptide behaviors that depend on short sequences of amino acids was also considered.

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Year:  2001        PMID: 11262040     DOI: 10.1021/jf000718y

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

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Authors:  Irini A Doytchinova; Darren R Flower
Journal:  BMC Bioinformatics       Date:  2007-01-05       Impact factor: 3.169

2.  Artificial neural network models for prediction of intestinal permeability of oligopeptides.

Authors:  Eunkyoung Jung; Junhyoung Kim; Minkyoung Kim; Dong Hyun Jung; Hokyoung Rhee; Jae-Min Shin; Kihang Choi; Sang-Kee Kang; Min-Kook Kim; Cheol-Heui Yun; Yun-Jaie Choi; Seung-Hoon Choi
Journal:  BMC Bioinformatics       Date:  2007-07-11       Impact factor: 3.169

  2 in total

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