ReviewFrontiers in pharmacology2021
The Advantages of Connectivity Map Applied in Traditional Chinese Medicine.
Review in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed.
- Advances in high-throughput drug screening based on pharmacotranscriptomics.Journal of advanced research · 2026Review
- Identification of Dopamine D2 Receptor as a Direct Target of Salidroside and Tyrosol by Integrated Transcriptomic and Biophysical Approaches.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Constructing a Pan-Cancer Prognostic Model via Machine Learning Based on Immunogenic Cell Death Genes and Identifying NT5E as a Biomarker in Head and Neck Cancer.Current issues in molecular biology · 2025Article
- Immunological landscape of periodontitis and rheumatoid arthritis and their molecular crosstalk.European journal of medical research · 2025Article
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- Network pharmacology integrated with molecular docking and experimental validation elucidates the therapeutic potential ofFrontiers in oncology · 2025Article
- NP-TCMtarget: a network pharmacology platform for exploring mechanisms of action of traditional Chinese medicine.Briefings in bioinformatics · 2024Article
- Small molecule-mediated targeting of microRNAs for drug discovery: Experiments, computational techniques, and disease implications.European journal of medicinal chemistry · 2023Review
- IGTCM: An integrative genome database of traditional Chinese medicine plants.The plant genome · 2023Article
- Article
- Drug repurposing based on the similarity gene expression signatures to explore for potential indications of quercetin: a case study of multiple sclerosis.Frontiers in chemistry · 2023Article
- Natural Products Drug Discovery: On Silica or In-Silico?Handbook of experimental pharmacology · 2023Article
- Review
- A Novel Based-Network Strategy to Identify Phytochemicals from Radix Salviae Miltiorrhizae (Danshen) for Treating Alzheimer's Disease.Molecules (Basel, Switzerland) · 2022Article
- Integrating ayurvedic medicine into cancer research programs part 2: Ayurvedic herbs and research opportunities.Journal of Ayurveda and integrative medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amid the establishment and optimization of Connectivity Map (CMAP), the functional relationships among drugs, genes, and diseases are further explored. This biological database has been widely used to identify drugs with common mechanisms, repurpose existing drugs, discover the molecular mechanisms of unknown drugs, and find potential drugs for some diseases. Research on traditional Chinese medicine (TCM) has entered a new era in the wake of the development of bioinformatics and other subjects including network pharmacology, proteomics, metabolomics, herbgenomics, and so on. TCM gradually conforms to modern science, but there is still a torrent of limitations. In recent years, CMAP has shown its distinct advantages in the study of the components of TCM and the synergetic mechanism of TCM formulas; hence, the combination of them is inevitable.
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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.