Li Ye, Wang Zhiqing, Cirino Patrick C
Department of Chemical and Biomolecular Engineering, University of Houston, Houston, TX, 77204, USA.
Biotechnol Lett. 2018 Jan;40(1):111-118. doi: 10.1007/s10529-017-2447-6. Epub 2017 Oct 4.
To isolate and characterize the kinetics of variants of E. coli β-glucuronidase (GUS) having altered substrate specificity.
Two small combinatorial libraries of E. coli GUS variants were constructed and screened for improved activities towards the substrate p-nitrophenyl-β-D-galactoside (pNP-gal). Nine of the most active variants were purified and their kinetic parameters were determined. These variants show up to 134-fold improved k/K value towards pNP-gal compared to wild-type GUS, up to 9 × 10-fold shift in specificity from p-nitrophenyl-β-D-glucuronide (pNP-glu) to pNP-gal compared to wild-type, and 10-fold increase in specificity shift compared to a previously evolved GUS variant.
The kinetic data collected for nine new GUS variants is invaluable for training computational protein design models that better predict amino acid substitutions which improve activity of enzyme variants having altered substrate specificity.
分离并表征具有改变的底物特异性的大肠杆菌β-葡萄糖醛酸酶(GUS)变体的动力学。
构建了两个大肠杆菌GUS变体的小型组合文库,并筛选了对底物对硝基苯基-β-D-半乳糖苷(pNP-gal)活性提高的变体。纯化了九个活性最高的变体,并测定了它们的动力学参数。与野生型GUS相比,这些变体对pNP-gal的k/K值提高了134倍,与野生型相比,从对硝基苯基-β-D-葡萄糖醛酸苷(pNP-glu)到pNP-gal的特异性最多有9×10倍的变化,与先前进化的GUS变体相比,特异性变化增加了10倍。
为九个新的GUS变体收集的动力学数据对于训练计算蛋白质设计模型非常宝贵,该模型可以更好地预测氨基酸取代,从而提高具有改变的底物特异性的酶变体的活性。