Novel carbohydrate-triazole derivatives as potential α-glucosidase inhibitors / 中国天然药物

A series of novel pyrano[2, 3-d]trizaole compounds were synthesized and their α-glucosidase inhibitory activities were evaluated by in vitro enzyme assay. The experimental data demonstrated that compound 10f showed up to 10-fold higher inhibition (IC74.0 ± 1.3 μmol·L) than acarbose. The molecular docking revealed that compound 10f could bind to α-glucosidase via the hydrophobic, π-π stacking, and hydrogen bonding interactions. The results may benefit further structural modifications to find new and potent α-glucosidase inhibitors.

Analysis of traditional Chinese medicine prescriptions based on support vector machine and analytic hierarchy process / 中国中药杂志

Combined use of drugs is a hot spot in the research of new drugs nowadays, and traditional Chinese medicine (TCM) is a classic practice in the combined use of drugs. In this paper, the compatibility of TCM prescriptions and the related properties of composed herbs were calculated and studied to verify and discuss the feasibility of the results in guiding compatibility. Research Group on New Drug Design, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences had established a structured database of TCM prescriptions by using traditional Chinese medicine inheritance support system (TCMISS V2.0), including 4 012 prescription compatibilities, 2 072 drug components, 381 kinds of TCM diseases, 316 kinds of TCM syndromes and 26 kinds of drug properties. On the basis of the created database above, Support Vector Machine (SVM) was used to analyze the prescription compatibility data and establish a model for predicting feasibility of drug compatibilities. Analytic Hierarchy Process (AHP) and cluster analysis were used to study the influence of drug properties in the rationality of prescription compatibility. The computational results showed that the accuracy in efficacy prediction of two data sets, i.e. prescription-disease and prescription-syndrome, was up to 90% in the linear SVM model. The macro₋averaging and micro₋averaging of the two models were around 0.92, 0.46, respectively. After AHP mapping, most of the incompatible combinations showed significant difference with other drug combinations during the clustering process in the vertical icicle, indicating that the proper machine learning algorithm can be used to lay the foundation for further exploring the combination rules in TCM and establishing more detailed drug-disease and syndrome predicting models, and provide theoretical guidance for the study of the combined use of drugs to a certain degree.

Effects of heart rate changes after holding breath and time for recovering stable heart rate on quality of coronary CTA / 医疗卫生装备

Objective To explore the effects of heart rate changes after holding breath and time for recovering stable heart rate on the quality of coronary CTA.Methods Totally 700 patients undergoing coronary CTA examination in some hospital were enrolled into the study,whose data on initial heart rate at rest condition,maximal heart rate during breath holding,stable heart rate after breath holding as well as the time consumed for recovering stable heart rate were collected and analyzed.Results A heart rate trendgram was drawn to find out the rules for heart rate changes and time for recovering stable heart rate,so that proper retrospective or prospective scanning scheme could be determined.Conclusion Mastering the rules in heart rate changes and time for recovering stable heart rate contributes to guiding coronary CTA.