… , predict their related targets, elucidate the synergistic effects, and illustrate the molecular …
to contribute to finding a scientific rationale for traditional medicines (Olivés and Mestres). …

… was proposed, a series of high-precision intelligent algorithms have been established, such
as large-scale prediction of the synergistic effects of drugs and TCM compounds based on …

… pharmacology approach for the prediction of drug combination and dynamic analysis, the
synergistic … More importantly, “drug–target–disease” network pharmacology analysis tools …

… Third, we compared the general statistics of several current TCM databases and evaluated
… based on 10 famous herbs. In summary, network pharmacology is a rational approach for …

… as networks best targeted by multiple, synergistic drugs. The use of network pharmacology
… In this review, we highlighted all the steps of network pharmacology research. The workflow …

… of network pharmacology-related … of network pharmacology in the treatment of IHDs with
TCM mainly focuses on the following four aspects: 1) multiple herbal ingredients and synergistic …

… effectively to identify the synergistic compound interactions based on network topology. …
In this study, we hypothesized that network pharmacology models on the underlying drug–target …

… In summary, network pharmacology can assist in evaluating … strategies by targeting a specific
network. Despite that, this … to identify novel drug targets, lack of synergistic drugs and poor …

… Herb treatment of hypertension has the advantages of synergistic lowering of blood
pressure, improving symptoms, improving metabolism, and protecting target organs [11]. It has …

… Research on traditional Chinese medicine (TCM) has entered a … and other subjects including
network pharmacology, proteomics, … CMAP can reflect the synergistic effect of TCM through …