Combinatorial mutation on the -glycosidase specific to 7--xylosyltaxanes and increasing the mutated enzyme production by engineering the recombinant yeast

Taxol is a "blockbuster" antitumor drug produced by species with extremely low amount, while its analogue 7--xylosyl-10-deacetyltaxol is generally much higher in the plants. Both the fungal enzymes LXYL-P1-1 and LXYL-P1-2 can convert 7--xylosyl-10-deacetyltaxol into 10-deacetyltaxol for Taxol semi-synthesis. Of them, LXYL-P1-2 is twice more active than LXYL-P1-1, but there are only 11 significantly different amino acids in terms of the polarity and acidic-basic properties between them. In this study, single and multiple site-directed mutations at the 11 sites from LXYL-P1-1 to LXYL-P1-2 were performed to define the amino acids with upward bias in activities and to acquire variants with improved catalytic properties. Among all the 17 mutants, E12 (A72T/V91S) was the most active and even displayed 2.8- and 3-fold higher than LXYL-P1-2 on -xylosidase and -glucosidase activities. The possible mechanism for such improvement was proposed by homology modeling and molecular docking between E12 and 7--xylosyl-10-deacetyltaxol. The recombinant yeast GS115-P1E12-7 was constructed by introducing variant , the molecular chaperone gene and the bacterial hemoglobin gene . This engineered yeast rendered 4 times higher biomass enzyme activity than GS115-3.5K-P1-2 that had been used for demo-scale fermentation. Thus, GS115-P1E12-7 becomes a promising candidate to replace GS115-3.5K-P1-2 for industrial purpose.

Advances in the pattern recognition research on fingerprint of Traditional Chinese Medicine / 国际药学研究杂志

With the continual progress in modern analytical technology and in-depth systematic study of Traditional Chinese Medicine (TCM), fingerprint is being gradually accepted for quality control. Fingerprint contains plenty of incognizable and potent data that reflect the intrinsic chemical information of TCM, how to discover and exploit these data is particularly important. The fingerprint pattern recognition of TCM that based on chemometric and computer science can recognize these data and variable characteristics, which makes it possible to control the quality of TCM. This paper reviews the advances in the pattern recognition research on fingerprint of TCM in recent years.