Yupeng Chen

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: 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.

TL;DR: By integrating pharmacological and chemoinformatic approaches, this study provides a new method for identifying the effective synergistic compounds of TCM prescriptions and showed that quercetin, baicalin, and ginsenoside Rg1 independently and synergistically increased cell viability.

TL;DR: In this article, a new bioinformatics analysis of computational network pharmacology model was designed, which takes Chai-Hu-Shu-Gan-San (CHSGS) treatment of depression as the case.

TL;DR: A new system pharmacology strategy that combined targets of XXMD and the pathogenetic genes of stroke to construct a functional response space (FRS) could improve the accuracy on decoding KFCGs of XX MD and provide a methodologic reference for the optimization, mechanism analysis, and secondary development of the formula in TCM.