首页> 外文期刊>International Journal of Pharmaceutical Sciences and Research >BIOCHEMICAL CHARACTERIZATION OF PROTEASE FROM ZINGIBER OFFICINALE RHIZOME BY USING NEURAL NETWORKING APPROACH
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BIOCHEMICAL CHARACTERIZATION OF PROTEASE FROM ZINGIBER OFFICINALE RHIZOME BY USING NEURAL NETWORKING APPROACH

机译:利用神经网络方法从Zingiber Officinale relizome生物化学表征蛋白酶

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Biochemical characterization of enzyme is the most fundamental aspects of enzymology from industrial point, as it is desirable to choose an enzyme which will have the fastest reaction rate per unit amount of enzyme which indicates the maximum effect for the minimum amount of added catalyst. In this study, Protease enzyme was extracted from Z. officinale and purified by using various down streaming techniques up to apparent homogeneity from which a model has been generated based on mathematical modelling. Neural networking approach has been applied to optimize the incubation time, pH stability, temperature stability, initial substrate concentration and initial enzyme concentration on casein hydrolysis. The purified protease from Z. officinale is thermo stable and appears to be a promising candidate in applications on various industrial sectors.
机译:酶的生化表征是从工业点的酶学的最基本的方面,因为期望选择每单位酶的最快反应速率的酶,这表明最大催化剂的最大效果。在该研究中,从Z. Officinale中提取蛋白酶酶,并通过使用各种下媒体技术纯化,从而明显均匀性,从中生成了基于数学建模的模型。已经应用神经网络方法以优化酪蛋白水解的孵育时间,pH稳定性,温度稳定性,初始衬底浓度和初始酶浓度。 Z. Officinale的纯化蛋白酶是热稳定的,似乎是各种工业部门应用中的有希望的候选者。

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