ArticleActa pharmaceutica Sinica. B2023
Functional annotation map of natural compounds in traditional Chinese medicines library: TCMs with myocardial protection as a case.
Article in Acta pharmaceutica Sinica. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Natural medicine‑empowered treatment of depression via restoring neurogenesis (Review).Molecular medicine reports · 2026Review
- A Five-Dimensional "Spider-Web" Strategy for Quality Markers Identification of Traditional Chinese Medicine Compound Preparations Based on an Integrated Characteristic Network.Journal of separation science · 2026Article
- Deep-DPC: Deep learning-assisted label-free temporal imaging discovery of anti-fibrotic compounds by controlling cell morphology.Journal of advanced research · 2025Article
- Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM.Chinese medicine · 2025Review
- Machine learning insights into the antioxidant and biomolecular shielding effects of polyphenol-rich 18 date palm pit extracts.Food chemistry: X · 2025Article
- Ginsenoside CK targets PHD2 to prevent platelet adhesion and enhance blood circulation by modifying the three-dimensional arrangement of collagen.Acta pharmaceutica Sinica. B · 2025Article
- Construction of eco-quality dual-suitable distribution areas forFrontiers in plant science · 2025Article
- Evaluating the impact of ecological factors on the quality and habitat distribution ofFrontiers in plant science · 2024Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The chemical complexity of traditional Chinese medicines (TCMs) makes the active and functional annotation of natural compounds challenging. Herein, we developed the TCMs-Compounds Functional Annotation platform (TCMs-CFA) for large-scale predicting active compounds with potential mechanisms from TCM complex system, without isolating and activity testing every single compound one by one. The platform was established based on the integration of TCMs knowledge base, chemome profiling, and high-content imaging. It mainly included: (1) selection of herbal drugs of target based on TCMs knowledge base; (2) chemome profiling of TCMs extract library by LC‒MS; (3) cytological profiling of TCMs extract library by high-content cell-based imaging; (4) active compounds discovery by combining each mass signal and multi-parametric cell phenotypes; (5) construction of functional annotation map for predicting the potential mechanisms of lead compounds. In this stud TCMs with myocardial protection were applied as a case study, and validated for the feasibility and utility of the platform. Seven frequently used herbal drugs (
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