α-氨基酸酯酰基转移酶表达纯化、酶学性质及其催化应用

α-氨基酸酯酰基转移酶(α-amino acid ester acyltransferase,AET)能够催化底物L-丙氨酸甲酯盐酸盐、L-谷氨酰胺合成L-丙氨酰-L-谷氨酰胺(L-alanyl-L-glutamine,丙谷二肽)。利用重组大肠杆菌saet-QC01表达α-氨基酸酯酰基转移酶,对其表达条件进行了优化,通过Ni-NTA亲和层析法分离纯化重组蛋白,并对其酶学性质、催化应用进行了研究。适合酶表达的诱导条件:温度20℃,诱导阶段(OD_(600)=2.0-2.5),IPTG浓度0.6 mmol/L,诱导时间12 h。α-氨基酸酯酰基转移酶的最适反应温度27℃,最适pH 8.5,在pH 7.0-8.0很稳定,在酸性条件下相对稳定,低浓度的Co^(2+)、低浓度的EDTA对酶活有促进作用。在底物浓度丙氨酸甲酯盐酸盐600 mmol/L、谷氨酰胺480 mmol/L,丙谷二肽的产量达到78.2 g/L,生产速率达到1.955 g/(L·min),转化率达到75.0%。α-氨基酸酯酰基转移酶具有良好的酸碱耐受性,催化效率高的优良特性,在工业生产中具有较好的应用潜力。

Similarities between "Big Data" and Traditional Chinese Medicine information

In this paper,we analyze the four distinct characteristics of information on Traditional Chinese Medicine(TCM), namely epistemological information,phenomenon information, overall information, and time information. These characteristics bear to some extent strong similarity to the three characteristics of "Big Data", namely integrity data, fuzzy data and correlation data, so the advent of the age of "Big Data" is bound to create good opportunities for the development of TCM informatics and is also be expected to provide methods and techniques for processing and analysis of TCM "comprehensive data".