ReviewChemistry Central journal2018
Study on the interaction between active components from traditional Chinese medicine and plasma proteins.
Review in Chemistry Central journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 50 citations in OpenAlex.
- Holistic concept guided quality control of traditional Chinese medicines for optimizing bioavailability.Chinese medicine · 2025Review
- Advances in surface plasmon resonance for analyzing active components in traditional Chinese medicine.Journal of pharmaceutical analysis · 2024Review
- Self-Assembled Aggregated Structures of Natural Products for Oral Drug Delivery.International journal of nanomedicine · 2024Review
- The Research Progress of Bioactive Peptides Derived from Traditional Natural Products in China.Molecules (Basel, Switzerland) · 2023Review
- Interaction of Positively Charged Oligopeptides with Blood Plasma Proteins.International journal of molecular sciences · 2023Article
- Dialdehyde Starch Nanocrystals as a Novel Cross-Linker for Biomaterials Able to Interact with Human Serum Proteins.International journal of molecular sciences · 2022Article
- Elucidation of the binding mechanism of astragaloside IV derivative with human serum albumin and its cardiotoxicity in zebrafish embryos.Frontiers in pharmacology · 2022Article
- In silico and multi-spectroscopic analyses on the interaction of 5-amino-8-hydroxyquinoline and bovine serum albumin as a potential anticancer agent.Scientific reports · 2021Article
- A comprehensive review of integrative pharmacology-based investigation: A paradigm shift in traditional Chinese medicine.Acta pharmaceutica Sinica. B · 2021Review
- Article
- Study on the Interactions Between Caffeoylquinic Acids With Bovine Serum Albumin: Spectroscopy, Antioxidant Activity, LC-MSFrontiers in chemistry · 2019Article
- Binding of Epimedium Flavonoids to Human Serum Albumin: Insights from Spectroscopic and Molecular Docking Studies.Iranian journal of pharmaceutical research : IJPRArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Traditional Chinese medicine (TCM), as a unique form of natural medicine, has been used in Chinese traditional therapeutic systems over two thousand years. Active components in Chinese herbal medicine are the material basis for the prevention and treatment of diseases. Research on drug-protein binding is one of the important contents in the study of early stage clinical pharmacokinetics of drugs. Plasma protein binding study has far-reaching influence on the pharmacokinetics and pharmacodynamics of drugs and helps to understand the basic rule of drug effects. It is important to study the binding characteristics of the active components in Chinese herbal medicine with plasma proteins for the medical science and modernization of TCM. This review summarizes the common analytical methods which are used to study the active herbal components-protein binding and gives the examples to illustrate their application. Rules and influence factors of the binding between different types of active herbal components and plasma proteins are summarized in the end. Finally, a suggestion on choosing the suitable technique for different types of active herbal components is provided, and the prospect of the drug-protein binding used in the area of TCM research is also discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.