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KMID : 1094720070120030228
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Biotechnology and Bioprocess Engineering
2007 Volume.12 No. 3 p.228 ~ p.234
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Predictive modeling of whole-cell bioactivity retention data in the presence of organic compounds
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Jiang Qun
Yao Shan-Jing
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Abstract
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The retention of whole-cell bioactivity is essential to the biocatalysis in reaction mixture containing organic compounds for the preparation of products in the pharmaceutical fine chemicals and food industries. A Quantitative Structure-Activity Relationship (QSAR) toxicity model for determination of whole-cell bioactivity was developed on the basis of receptor theory. And the glycolysis activity retention of baker’s yeast in the presence of organic compounds was investigated in this study. Based on the fitting of the QSAR model to experimental data obtained in this study and in previous literatures, the regression analysis indicated that calculated values with this model were consistent with experimental data. Comparison of experimental data to the modeled curves suggests good predictive capabilities of the model for determination of whole-cell bioactivity.
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KEYWORD
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whole-cell biocatalysis, modeling, Quantitative Structure-Activity Relationship (QSAR), microbial activity retention, organic toxicity
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