Literature DB >> 7096320

Correlation of the amino acid composition of a protein to its structural and biological characters.

K Nishikawa, T Ooi.   

Abstract

Amino acid compositions of 356 proteins are expressed as points in an 18 dimensional space of 18 axes representing the contents of amino acids. The proteins are classified into four groups of intra- and extracellular enzymes and nonenzymes according to analysis of the distribution of the points. The groups have a significant correlation to four folding types of secondary structures, and extra- and intracellular proteins to those with and without disulfide bond(s), respectively. The location and function of a protein seem to determine its amino acid composition and folding type.

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Year:  1982        PMID: 7096320     DOI: 10.1093/oxfordjournals.jbchem.a133877

Source DB:  PubMed          Journal:  J Biochem        ISSN: 0021-924X            Impact factor:   3.387


  8 in total

1.  Prediction of the secondary structure content of globular proteins based on structural classes.

Authors:  C T Zhang; Z Zhang; Z He
Journal:  J Protein Chem       Date:  1996-11

2.  Hydrophobicity, expressivity and aromaticity are the major trends of amino-acid usage in 999 Escherichia coli chromosome-encoded genes.

Authors:  J R Lobry; C Gautier
Journal:  Nucleic Acids Res       Date:  1994-08-11       Impact factor: 16.971

3.  Origin and evolution of heredity-metabolism system.

Authors:  M Shimizu
Journal:  Orig Life       Date:  1984

4.  Proteomics in Vaccinology and Immunobiology: An Informatics Perspective of the Immunone.

Authors:  Irini A. Doytchinova; Paul Taylor; Darren R. Flower
Journal:  J Biomed Biotechnol       Date:  2003

5.  Crystal structure of human V-1 in the apo form.

Authors:  Shuichi Takeda; Ryotaro Koike; Takayuki Nagae; Ikuko Fujiwara; Akihiro Narita; Yuichiro Maéda; Motonori Ota
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2021-01-01       Impact factor: 1.056

6.  Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties.

Authors:  Lele Hu; Tao Huang; Xiaohe Shi; Wen-Cong Lu; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2011-01-19       Impact factor: 3.240

7.  Prediction of functionally important residues in globular proteins from unusual central distances of amino acids.

Authors:  Marek Kochańczyk
Journal:  BMC Struct Biol       Date:  2011-09-18

8.  Protein structural class prediction based on an improved statistical strategy.

Authors:  Fei Gu; Hang Chen; Jun Ni
Journal:  BMC Bioinformatics       Date:  2008-05-28       Impact factor: 3.169

  8 in total

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