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• W2496020810 abstract "Traditional Chinese medicine (TCM) is a widely used complementary alternative medicine approach. Although many aspects of its effectiveness have been approved clinically, rigorous scientific techniques are highly required to translate the promises from TCM into powerful modern therapies. In this respect, proteomics is useful because of its ability to unveil the underlying target proteins and/or protein biomarkers.In this review, we summarize the recent interplay between proteomics and research on TCM, ranging from exploration of the medicinal materials to the biological basis of TCM concepts, and from pathological studies to pharmacological investigations. We show that proteomic analyses provide preliminary biological evidence of the promises in TCM, and the integration of proteomics with other omics and bioinformatics offers a comprehensive methodology to address the complications of TCM. Expert commentary: Currently, only limited information can be obtained regarding TCM issues and thus more work is required to resolve the ambiguity. As such, more collaborations between proteomics and other techniques (other omics, network pharmacology, etc.) are essential for deciphering the underlying biological basis in TCM topics." @default.
• W2496020810 created "2016-08-23" @default.
• W2496020810 creator A5021155491 @default.
• W2496020810 creator A5060335470 @default.
• W2496020810 creator A5075510757 @default.
• W2496020810 date "2016-08-12" @default.
• W2496020810 modified "2023-09-23" @default.
• W2496020810 title "Application of proteomics in research on traditional Chinese medicine" @default.
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• W2496020810 cites W1491170332 @default.
• W2496020810 cites W1559354256 @default.
• W2496020810 cites W1837801420 @default.
• W2496020810 cites W1967183816 @default.
• W2496020810 cites W1973651813 @default.
• W2496020810 cites W1976597279 @default.
• W2496020810 cites W1985887065 @default.
• W2496020810 cites W1988362091 @default.
• W2496020810 cites W1988408998 @default.
• W2496020810 cites W1989872211 @default.
• W2496020810 cites W1991343446 @default.
• W2496020810 cites W1994468322 @default.
• W2496020810 cites W1995825072 @default.
• W2496020810 cites W1997446162 @default.
• W2496020810 cites W2007436556 @default.
• W2496020810 cites W2007535176 @default.
• W2496020810 cites W2012708400 @default.
• W2496020810 cites W2013279502 @default.
• W2496020810 cites W2019133094 @default.
• W2496020810 cites W2022717812 @default.
• W2496020810 cites W2023192233 @default.
• W2496020810 cites W2025499217 @default.
• W2496020810 cites W2026433130 @default.
• W2496020810 cites W2028403821 @default.
• W2496020810 cites W2028648995 @default.
• W2496020810 cites W2034774239 @default.
• W2496020810 cites W2036798783 @default.
• W2496020810 cites W2041699905 @default.
• W2496020810 cites W2043251116 @default.
• W2496020810 cites W2051001152 @default.
• W2496020810 cites W2051141134 @default.
• W2496020810 cites W2052068650 @default.
• W2496020810 cites W2053697292 @default.
• W2496020810 cites W2053841901 @default.
• W2496020810 cites W2056407773 @default.
• W2496020810 cites W2056694840 @default.
• W2496020810 cites W2061585546 @default.
• W2496020810 cites W2062229905 @default.
• W2496020810 cites W2067115759 @default.
• W2496020810 cites W2077118407 @default.
• W2496020810 cites W2081901242 @default.
• W2496020810 cites W2083818552 @default.
• W2496020810 cites W2090867324 @default.
• W2496020810 cites W2092905420 @default.
• W2496020810 cites W2094253803 @default.
• W2496020810 cites W2094562834 @default.
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• W2496020810 cites W2110851900 @default.
• W2496020810 cites W2113091489 @default.
• W2496020810 cites W2116863239 @default.
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• W2496020810 cites W2151012511 @default.
• W2496020810 cites W2176060117 @default.
• W2496020810 cites W2176788997 @default.
• W2496020810 cites W2220606183 @default.
• W2496020810 cites W2234562695 @default.
• W2496020810 cites W2257291423 @default.
• W2496020810 cites W2258959318 @default.
• W2496020810 cites W2287593267 @default.
• W2496020810 cites W2290972993 @default.
• W2496020810 cites W2294300560 @default.
• W2496020810 cites W2295672269 @default.
• W2496020810 cites W2314327982 @default.
• W2496020810 cites W2318796928 @default.
• W2496020810 cites W2326908136 @default.
• W2496020810 cites W2362006499 @default.
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• W2496020810 doi "https://doi.org/10.1080/14789450.2016.1220837" @default.
• W2496020810 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27488052" @default.
• W2496020810 hasPublicationYear "2016" @default.
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