ReviewPharmaceuticals (Basel, Switzerland)2025
Network Pharmacology-Driven Sustainability: AI and Multi-Omics Synergy for Drug Discovery in Traditional Chinese Medicine.
Review in Pharmaceuticals (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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
21 citing papers in PubMed.
- Artificial intelligence-driven discovery of coumarin-based therapeutics: Revolutionizing target identification and validation.Pharmaceutical science advances · 2026Review
- Beyond the barrier: Engineering the tumor-immune-soil nexus-a mechanistic blueprint for integrating Traditional Chinese Medicine with immunotherapy in metastatic colorectal cancer.Medical oncology (Northwood, London, England) · 2026Review
- Integrative Medicine for Liver Fibrosis: Bioactive Constituents and Therapeutic Potential of Scutellaria baicalensis.Chinese journal of integrative medicine · 2026Review
- Interpreting the Black Box: Interpretable Machine Learning and Systems Pharmacology in Small-Molecule Therapeutics.Pharmaceutics · 2026Review
- Machine Learning-Aided Drug Repurposing for Screening COX-2 Inhibitors from Traditional Chinese Medicines.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Single-cell RNA-sequencing reveals cellular heterogeneity and identifies biomarkers for obstructive sleep apnea and migraine.Human genomics · 2026Article
- AI and network biology for rational polypharmacology in signaling drug design: a review.NPJ precision oncology · 2026Review
- Nutraceutical Interventions in Stunting: Advances, Challenges, and Prospects.Food science & nutrition · 2026Review
- Future prospects of antiviral research in traditional Chinese medicine.Chinese herbal medicines · 2026Review
- Ginger Bioactives as Multi-Target Therapeutics: Mechanisms, Delivery Innovation, and Human Health Impact.Nutrients · 2026Review
- Research Landscape and Emerging Trends in Herbal Medicine for Pediatric Respiratory Tract Infections: A CiteSpace-Based Bibliometric Analysis.Health science reports · 2026Article
- Network Pharmacology-Based Elucidation of Gu's Anshen Decoction in Modulating TNF Signaling to Ameliorate Insomnia.Nature and science of sleep · 2026Article
- Beyond metabolism and blood flow: toward an inflammation-metabolism axis paradigm for herbal medicine in obesity-related coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- Zebrafish as a translational platform for investigating multi-organ pharmacological interactions of traditional Chinese medicine.Frontiers in pharmacology · 2026Review
- Artificial Intelligence in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms.Research (Washington, D.C.) · 2026Review
- Wenyang Huazhuo formula extract ameliorates diabetic kidney disease in db/db mice and is associated with modulation of MHC class II molecules and gut microbiota.Frontiers in pharmacology · 2026Article
- Artificial intelligence and synthetic biology in traditional Chinese medicine: revolutionizing public health applications.Frontiers in plant science · 2026Review
- Assessing biological activities of polyphenols in the context of 4R - challenges of a ubiquitous compound class with complex modes of action.Frontiers in pharmacology · 2026Review
- Integrative Network Pharmacology and Multi-Omics Analysis Reveal Key Targets and Mechanisms of Saikosaponin B1 Against Acute Lung Injury.Metabolites · 2025Article
- Computational Investigation Identifies mTOR as a Primary Binding Target of Medicarpin in Cholangiocarcinoma: Insights from Network Pharmacology and Molecular Docking.Life (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Traditional Chinese medicine (TCM), a holistic medical system rooted in dialectical theories and natural product-based therapies, has served as a cornerstone of healthcare systems for millennia. While its empirical efficacy is widely recognized, the polypharmacological mechanisms stemming from its multi-component nature remain poorly characterized. The conventional trial-and-error approaches for bioactive compound screening from herbs raise sustainability concerns, including excessive resource consumption and suboptimal temporal efficiency. The integration of artificial intelligence (AI) and multi-omics technologies with network pharmacology (NP) has emerged as a transformative methodology aligned with TCM's inherent "multi-component, multi-target, multi-pathway" therapeutic characteristics. This convergent review provides a computational framework to decode complex bioactive compound-target-pathway networks through two synergistic strategies, (i) NP-driven dynamics interaction network modeling and (ii) AI-enhanced multi-omics data mining, thereby accelerating drug discovery and reducing experimental costs. Our analysis of 7288 publications systematically maps NP-AI-omics integration workflows for natural product screening. The proposed framework enables sustainable drug discovery through data-driven compound prioritization, systematic repurposing of herbal formulations via mechanism-based validation, and the development of evidence-based novel TCM prescriptions. This paradigm bridges empirical TCM knowledge with mechanism-driven precision medicine, offering a theoretical basis for reconciling traditional medicine with modern pharmaceutical innovation.
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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.