2021
DOI: 10.2147/jir.s303530
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Integrated Systems Pharmacology and Surface Plasmon Resonance Approaches to Reveal the Synergistic Effect of Multiple Components of Gu-Ben-Ke-Chuan Decoction on Chronic Bronchitis

Abstract: Introduction Gu-Ben-Ke-Chuan (GBKC) decoction, a well-known prescription composed of seven herbs, has been widely used for treating chronic bronchitis (CB). However, the pharmacological constituents of GBKC and the underlying mechanisms by which these components act on CB remain unclear. Methods Ultra-high-pressure liquid chromatography coupled with linear ion trap–Orbitrap tandem mass spectrometry (UHPLC-LTQ-Orbitrap) was first employed to rapidly identify compounds fr… Show more

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Cited by 5 publications
(2 citation statements)
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“…Network pharmacology analysis was carried out according to our previous studies [ 37 , 38 ]. Briefly, the GA-related targets were searched by MedChem Studio 3.0 (Simulations Plus, USA), setting confidence score at 0.6.…”
Section: Methodsmentioning
confidence: 99%
“…Network pharmacology analysis was carried out according to our previous studies [ 37 , 38 ]. Briefly, the GA-related targets were searched by MedChem Studio 3.0 (Simulations Plus, USA), setting confidence score at 0.6.…”
Section: Methodsmentioning
confidence: 99%
“…Despite the advantages of network methods in herbal medicine, the lack of reliable target information on ingredients is one of the most challenging problems 10 . Due to the development of high-throughput sequencing and system biology, multi-omics data are often integrated into computational target predicting methods, such as molecular docking 11 , machine learning methods 12 , and network-based methods 13 , to improve prediction accuracy 14 , especially the network perturbation method. For example, the random walk algorithm can be used to prioritize the critical drug targets of the compound based on the topological characteristics of the horizontal disturbance of the gene transcriptome among the PPI network 15 .…”
Section: Introductionmentioning
confidence: 99%