2020
DOI: 10.1039/c9ra09623j
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Identification of blood-activating components from Xueshuan Xinmaining Tablet based on the spectrum–effect relationship and network pharmacology analysis

Abstract: To identify active components of XXT and discuss the potential mechanism, the relationship between HPLC fingerprints and blood-activating effects were established by GRA and PLSR, and the mechanism was discussed by the network pharmacology analysis.

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Cited by 10 publications
(4 citation statements)
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“…Bioinformatics and network pharmacology have emerged as comprehensive approaches for integrating interactions between components, targets, and mechanisms, spanning from the molecular to the system level. This methodology is increasingly recognized as a frontier research field in drug discovery and development (Tan et al, 2020). Using a network‐based approach, network pharmacology enables systematic exploration of the roles and mechanisms of drugs in treating complex diseases across molecular, cellular, tissue, and biological levels (Wang et al, 2021; Yuan et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
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“…Bioinformatics and network pharmacology have emerged as comprehensive approaches for integrating interactions between components, targets, and mechanisms, spanning from the molecular to the system level. This methodology is increasingly recognized as a frontier research field in drug discovery and development (Tan et al, 2020). Using a network‐based approach, network pharmacology enables systematic exploration of the roles and mechanisms of drugs in treating complex diseases across molecular, cellular, tissue, and biological levels (Wang et al, 2021; Yuan et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Bioinformatics and network pharmacology have emerged as comprehensive approaches for integrating interactions between components, targets, and mechanisms, spanning from the molecular to the system level. This methodology is increasingly recognized as a frontier research field in drug discovery and development (Tan et al, 2020).…”
mentioning
confidence: 99%
“…"Pharmacodynamics" data is acquired by the biomodels usually [25]. e methods of data processing, mainly include principal component analysis (PCA), partial least squares (PLS) regression analysis, orthogonal partial least squares-discriminant analysis (OPLS-DA), canonical correlation analysis (CCA), and grey relational analysis (GRA) usually [26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…Network pharmacology is proposed on the basis of systems biology and network analysis. As a result of the rapid development of various bio-informatics, systems pharmacology has been applied to discover active ingredients or components of TCM and their molecular mechanisms [16][17][18][19][20][21] . Therefore, the study of TCM based on network pharmacology is valuable, which provides an approach for further investigating the effect of Sophorae Flavescentis Radix in lung cancer alleviation and recovery.…”
Section: Introductionmentioning
confidence: 99%