Dataset
636 traditional Chinese medicines, 8190 components, 465 targets of 40 pharmacological effects and 18 efficacies information were collected and processed from Chinese pharmacopoeia, DrugBank, CTD, books and literature.
IPE to identifying pharmacological effects
Based on 20,000 samples, we established the identification model of pharmacological effects(IPE) using convolutional neural network frameworks of GoogLeNet.
RTE to identifying efficacy of TCM components
Based on 3596 samples, 18 recognition models of TCM efficacy (RTE) of components were created by SVM.
Application of SYSTCM
It can be used to search all components with a certain pharmacological effect, and the efficacies and pharmacological effects of all components of a TCM, and can further obtain the key ingredients, pharmacological effects and efficacies of a TCM through network analysis.
Aromatic Traditional Chinese Medicine
SYSTCM-Aromatic now includes data on 62 herbs and 430 components, using a CNN model to predict pharmacological effects.