2020
DOI: 10.1016/j.jpba.2020.113413
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An integrated approach to uncover quality markers of Traditional Chinese medicine underlying chemical profiling, network target selection and metabolomics approach: Guan-Xin-Jing capsule as a model

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Cited by 7 publications
(2 citation statements)
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“…Currently, underlying component content and profiling, many useful methods have been developed to identify proteins and peptides at the transcriptomic, peptidomic, or genomic level to analyze the active substances, reveal the quality markers in medicinal materials, and perform an overall quality evaluation through bioinformatics and validation [33][34][35][36]. Here, transcriptomics and tandem mass tag (TMT) proteomics were used to analyze differences and identify quality markers in protein components of toad venom from different regions.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, underlying component content and profiling, many useful methods have been developed to identify proteins and peptides at the transcriptomic, peptidomic, or genomic level to analyze the active substances, reveal the quality markers in medicinal materials, and perform an overall quality evaluation through bioinformatics and validation [33][34][35][36]. Here, transcriptomics and tandem mass tag (TMT) proteomics were used to analyze differences and identify quality markers in protein components of toad venom from different regions.…”
Section: Introductionmentioning
confidence: 99%
“…The strategy of identification or tentatively characterization of chemical components by conventional identification method from the literature [12, 13] was as follows: Firstly, an in‐house database about the chemical components from five herbs was established by searching the literature and database including PubChem (https://www.ncbi.nlm.nih.gov/) and ChemsSpider (http://www.chemspider.com/). Next, compounds in the database were inputted into the MasslynxV4.1 software, and the peaks with the same formula were screened out.…”
Section: Methodsmentioning
confidence: 99%