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Modeling and Experimental Validation of Algorithms for Maximum Quantity of Protein to be Immobilized on Solid Supports by Electrostatic Adsorption in the Strategy of Rational Design of Immobilized Derivatives
The Protein Journal ( IF 1.9 ) Pub Date : 2021-05-10 , DOI: 10.1007/s10930-021-09992-7
Pedro L Arruebo-Rivera 1 , Freddy Castillo-Alfonso 1, 2 , Amanda Troya 1, 3 , Yosberto Cárdenas-Moreno 1, 4 , Patricia Pérez-Ramos 3 , Jorge González-Bacerio 1 , José M Guisán Seijas 5 , Alberto Del Monte-Martínez 1
Affiliation  

Protein immobilization by electrostatic adsorption to a support could represent a good option. On the other hand, lysozyme (EC 3.2.1.17) is a little and basic protein. The objective of this work was to test the functionality of the strategy of Rational Design of Immobilized Derivatives for the immobilization by electrostatic adsorption of egg white lysozyme on SP-Sepharose FastFlow support. The RDID1.0 software was used to predict the superficial lysozyme clusters, the electrostatic configuration probability for each cluster, and the theoretical and estimated maximum quantity of protein to be immobilized. In addition, immobilization was performed and the experimental parameter practical maximum quantity of protein to be immobilized and the enzymatic activity of the immobilized derivative were assessed. The estimated maximum quantity of protein to be immobilized (9.49 protein mg/support g) was close to the experimental practical maximum quantity of protein to be immobilized (14.73 ± 0.09 protein mg/support g). The enzymatic activity assay with the chitosan substrate showed the catalytic functionality of the lysozyme-SP-Sepharose immobilized derivative (35.85 ± 3.07 U/support g), which preserved 78% functional activity. The used algorithm to calculate the estimated maximum quantity of protein to be immobilized works for other proteins, porous solid supports and immobilization methods, and this parameter has a high predictive value, useful for obtaining optimum immobilized derivatives. The applied methodology is valid to predict the most probable protein-support configurations and their catalytic competences, which concur with the experimental results. The produced biocatalyst had a high retention of functional activity. This indicates its functionality in enzymatic bioconversion processes.



中文翻译:

在固定化衍生物的合理设计策略中,通过静电吸附将最大数量的蛋白质固定在固体载体上的算法的建模和实验验证

通过静电吸附将蛋白质固定到载体上可能是一个不错的选择。另一方面,溶菌酶(EC 3.2.1.17)是一种少量的碱性蛋白质。这项工作的目的是测试固定化衍生物的合理设计策略的功能性,用于通过静电吸附在 SP-Sepharose FastFlow 载体上的蛋清溶菌酶进行固定。该RDID 1.0软件用于预测表面溶菌酶簇、每个簇的静电构型概率以及理论和估计的最大蛋白质固定量。此外,还进行了固定化,并评估了实验参数实际要固定的蛋白质的最大量和固定化衍生物的酶活性。估计要固定的蛋白质的最大数量 (9.49 蛋白质毫克/支持物 g) 接近要固定的实验实际最大蛋白质数量 (14.73 ± 0.09 蛋白质毫克/支持物 g)。壳聚糖底物的酶活性测定显示溶菌酶-SP-Sepharose 固定化衍生物的催化功能 (35.85 ± 3.07 U/support g),保留了 78% 的功能活性。所用算法计算估计的最大待固定蛋白质数量适用于其他蛋白质、多孔固体支持物和固定方法,该参数具有较高的预测值,有助于获得最佳的固定衍生物。所应用的方法可有效预测最可能的蛋白质载体配置及其催化能力,这与实验结果一致。生产的生物催化剂具有高的功能活性保留。这表明其在酶促生物转化过程中的功能。所应用的方法可有效预测最可能的蛋白质载体配置及其催化能力,这与实验结果一致。生产的生物催化剂具有高的功能活性保留。这表明其在酶促生物转化过程中的功能。所应用的方法可有效预测最可能的蛋白质载体配置及其催化能力,这与实验结果一致。生产的生物催化剂具有高的功能活性保留。这表明其在酶促生物转化过程中的功能。

更新日期:2021-05-11
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