Title: Grey anti-inflammation analysis of phenolic acid phenethyl esters in human neutrophils

Authors: Ya-Ting Lee; Chian-Song Chiu

Addresses: Department of Beauty Science, National Taichung University of Science and Technology, Taichung 40401, Taiwan ' Department of Electrical Engineering, Chung-Yuan Christian University, Chungli 32023, Taiwan

Abstract: This paper presents grey structure activity relationship analysis for anti-inflammation of phenolic acid phenethyl esters in human neutrophils. To study the anti-inflammation effect, 14 compounds of phenolic acid phenethyl esters are synthesised, while the inhibition on superoxide anion generation (which is linked to an inflammation effect) induced by PMA and fMLP stimulants is detected. Next, the relationship weighting of each functional group of phenolic acid phenethyl esters is found by applying the grey system theory on the measured data. Moreover, evident structure activity relationships are established to regulate the anti-inflammation effect of such compounds, e.g. the most important functional group affecting the anti-inflammation in human neutrophils is revealed. In addition, some extending results are obtained based on the grey analysis. It is interesting that the analysed result is consistent with the actual circumstance. In comparison with traditional methods, this paper applying the grey theory indicates more characteristic information about the structure activity relationships of phenolic acid phenethyl esters while fewer data samples are required.

Keywords: grey system theory; structure activity relationship; phenolic acid phenethyl esters; anti-inflammation analysis; human neutrophils; grey relational analysis; GRA; inflammation effect; bioinformatics.

DOI: 10.1504/IJDMB.2015.066769

International Journal of Data Mining and Bioinformatics, 2015 Vol.11 No.2, pp.244 - 256

Received: 05 Apr 2012
Accepted: 20 Sep 2012
Published online: 05 Jan 2015 *

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