Spring is coming and summer is coming, Xiaoman has arrived, the prelude to the wave of wheat is gradually sounding, and the hard work of the people of Baiqu in the field of traditional Chinese medicine has ushered in the first bumper harvest of this year. As a blockbuster product in the clinical application of traditional Chinese medicine, the traditional Chinese medicine into the blood group can be described as "one optimization, two improvements, and three new additions". "One optimization" is the optimization of the analysis legend; "two improvements" are the detection level and the database of exclusive medicinal ingredients of traditional Chinese medicine; And the network diagram of 'Chinese medicine-blood components-targets-pathways-diseases', the above upgrades make the reference of data charts more convenient and the analysis level more distinct.
an optimization
Different from the previous illustrations, the optimized network diagram can intuitively display more metabolites of related targets or targets with more related pathways, which is convenient for mining information such as key targets.
two lifts
database
1. The exclusive medicinal database of traditional Chinese medicine has been upgraded to 6100+
2. The disease database covers 3w+
The network pharmacology database includes a total of 3w+ diseases, which can better cover the diseases that customers are concerned about, such as Abdominal Abscess, Ablepharon, Aortic Angiosarcoma, Multiple allergies, etc.
check out
For Chinese herbal medicines, according to the characteristics of their medicinal ingredients, Baiqu has developed and selected a suitable detection method. The detection level of single and compound prescriptions of traditional Chinese medicines under this method is as high as 2000+, and the overall substance detection is in the range of 400-2000, with an average of nearly 1350 species Medicinal ingredients. Of course, the above data are only the actual measurement data of different Chinese medicine sample items, and are not equal to the final detection situation in your sample. For different processing techniques, different origins of medicinal materials, and different varieties, the detection level will be different, so we need to conduct actual analysis based on our own samples.
Three new additions
Added TIC peak peak chart
- TIC marks the medicinal ingredients to show where the important medicinal ingredients appear, which can be used directly in the article;
- ——List the article's common information for each ingredient.
Added VENN analysis
Using VENN analysis, the shared situation of disease targets and medicinal ingredient action targets is visually displayed.
A major new addition, showing the network diagram of traditional Chinese medicine and disease
Correlate the key components, pathways and other information in the project analysis results, and use single prescriptions/compounds to correlate with diseases to draw a network diagram of "Chinese medicine-blood components-targets-pathways-disease", which can visually display the main functions of traditional Chinese medicine as a whole Targets and mechanisms.
database
references:
[1]. Wang Ying,Yang Song Hong,Zhong Keying,Jiang Ting,Zhang Mi,Kwan Hiu Yee,Su Tao. Network Pharmacology-Based Strategy for the Investigation of the Anti-Obesity Effects of an Ethanolic Extract of Zanthoxylum bungeanum Maxim[J]. Frontiers in Pharmacology,2020,11.
[2]. Zhang zhengyi, xie ziye, lv shujing, shi yulian, zhai chuanjia, li xuejiao, qiao bin, gao xiaoyan. Integrated metabolomics and network pharmac Ology Study on the Mechanism of Kangfuxiaoyan Supplery for Treating Chronic Pelvic Inflammatic Disease [J]. Frontiers in Pharmacology, 2022, 13.