ABSTRACT
Scutellaria barbata D. Don is widely used in TCM clinical practice, so it is important to delve the information of its system biology. In this paper, we integrate its natural compounds and genomics information. The Herb-Prince complex networks algorithm is used to delve potential associated genes, gene families and KEGG signal pathways for Scutellaria barbata D. Don, and the information is verified by literature. The top 100 genes, 4 gene families and 10 KEGG signaling pathways were found. The related results are highly consistent with the clinical and pharmacological studies of Scutellaria barbata D. Don, which provide decision support for researchers to study pharmacological activities of Scutellaria barbata D. Don at the molecular level.
ABSTRACT
Rough set theory is a powerful tool to deal with incomplete information system, which can be applied to prescription data analysis. In this paper, we suggested an improved rough set model called WVP-T model. The model combined the variable precision model with the tolerance relation model. It can overcome the shortcoming of classical model. Furthermore, attribute importance and entropy of information were combined as heuristic information. Medicine was mapped to rough set attribute in order to value its importance. Then, combined with curative effect, attribute reduction was used to investigate the relationship between prescription and medicine and the relationship between symptom and syndrome. The experimental results showed that algorithm proposed in this paper can be used in prescription data analysis and can accurately reveal the compatibility rules to guide the clinical medication.