Daogang Guan

TL;DR: The results show that the KNMSs predicted by the model kept a high consistency with the corresponding C-T network in coverage of RA pathogenic genes, coverage of functional pathways and cumulative contribution of key nodes, which confirmed the reliability and accuracy of the proposed KNMS prediction strategy.

TL;DR: In this article, a network pharmacology method was designed to identify critical response networks (CRNs) and effective proteins based on these proteins, and a target coverage contribution (TCC) model is designed to infer a core active component group (CACG).

TL;DR: A novel network pharmacological model is designed, which takes Lang Chuang Wan (LCW) treatment of systemic lupus erythematosus (SLE) treatment as the case and provides reference for the optimization and mechanism analysis of the formula in TCM.

TL;DR: This research systematically decoded the “Jun, Chen, Zuo and Shi” rules of Huanglian Jiedu Decoction (HJD) in the treatment of diseases for the first time and shows the scientific basis of ‘Jun-Chen-Zuo-Shi’ from a multi-dimensional perspective.

TL;DR: In this paper, a metabolic data-driven system pharmacology approach was utilized to investigate the potential mechanisms of CKI for treatment of hepatocellular carcinoma (HCC) using a propagation model based on Dijkstra program.