Site-directed mutagenesis identified the key active site residues of 2,3-oxidosqualene cyclase HcOSC6 responsible for cucurbitacins biosynthesis in Hemsleya chinensis.

Hemsleya chinensis is a Chinese traditional medicinal plant, containing cucurbitacin IIa (CuIIa) and cucurbitacin IIb (CuIIb), both of which have a wide range of pharmacological effects, including antiallergic, anti-inflammatory, and anticancer properties. However, few studies have been explored on the key enzymes that are involved in cucurbitacins biosynthesis in H. chinensis. Oxidosqualene cyclase (OSC) is a vital enzyme for cyclizing 2,3-oxidosqualene and its analogues. Here, a gene encoding the oxidosqualene cyclase of H. chinensis (HcOSC6), catalyzing to produce cucurbitadienol, was used as a template of mutagenesis. With the assistance of AlphaFold2 and molecular docking, we have proposed for the first time to our knowledge the 3D structure of HcOSC6 and its binding features to 2,3-oxidosqualene. Mutagenesis experiments on HcOSC6 generated seventeen different single-point mutants, showing that single-residue changes could affect its activity. Three key amino acid residues of HcOSC6, E246, M261 and D490, were identified as a prominent role in controlling cyclization ability. Our findings not only comprehensively characterize three key residues that are potentially useful for producing cucurbitacins, but also provide insights into the significant role they could play in metabolic engineering.

[Protein interaction network analysis of Panax notoginseng saponins].

Panax notoginseng (PN) is one of the commonly used clinical medicines for cardiovascular diseases and possesses a variety of pharmacological effects. P. notoginseng saponins (PNS) are the most important bioactive components in PN. The purpose of this study was to explain the mechanism of PNS on molecular network level. 18 targets of the main medicinal ingredients of PNS were gained by virtual screening based on pharmacophores and data mining. A protein interaction network of PNS was constructed with 189 nodes and 721 interactions. By a graph theoretic clustering algorithm Molecular Complex Detection (MCODE), 14 modules were detected. Gene ontology (GO) enrichment analysis of the modules demonstrated that the roles of PNS played in cardiovascular disease related to multiple biological processes, which could represent the characteristics of traditional Chinese medicine (TCM) as a whole to regulate the disease. The results showed that the blood circulation and hemostasis efficacy of PN related with the biological processes such as positive regulation of cAMP metabolic and biosynthetic process, platelet activation and regulation of blood vessel size, regulation of T cell proliferation and differentiation and so on. Therefore, the module-based network analysis will be an effective method for better understanding TCM.