ReviewCell proliferation2015
Review of natural product databases.
Review in Cell proliferation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Exploring the global mosaic of medicinal plant databases: unveiling nature's pharmacopoeia.Natural products and bioprospecting · 2026Review
- The Computational Revolution in Natural Product Research: A Data-Driven Roadmap for Next-Generation Drug Development.Biology · 2026Review
- Exploring the medicinal potential of Alnus japonica: a comprehensive review of phytochemicals and therapeutic applications.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Indigenous medicinal knowledge and therapeutic practices of the endangered Ongota/Birale of Southwest Ethiopia.Journal of ethnobiology and ethnomedicine · 2025Article
- Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites.Quantitative plant biology · 2025Article
- Article
- Bioinformatics approach for searching for natural products in vector-borne disease management.Northern clinics of Istanbul · 2024Review
- Deciphering the Precise Target for Saroglitazar Associated Antiangiogenic Effect: A Computational Synergistic Approach.ACS omega · 2023Article
- Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.Molecular diversity · 2023Review
- Cheminformatics-Based Study Identifies Potential Ebola VP40 Inhibitors.International journal of molecular sciences · 2023Article
- New approaches in developing medicinal herbs databases.Database : the journal of biological databases and curation · 2023Review
- Eight key rules for successful data-dependent acquisition in mass spectrometry-based metabolomics.Mass spectrometry reviews · 2023Review
- Molecular Mechanisms ofCombinatorial chemistry & high throughput screening · 2023Article
- An Overview onEvidence-based complementary and alternative medicine : eCAM · 2022Review
- Shugan Jieyu Capsule in Post-Stroke Depression Treatment: From Molecules to Systems.Frontiers in pharmacology · 2022Review
- Flavonoids on diabetic nephropathy: advances and therapeutic opportunities.Chinese medicine · 2021Review
- Anti-Inflammatory and Anti-Allergic Effects of Saponarin and Its Impact on Signaling Pathways of RAW 264.7, RBL-2H3, and HaCaT Cells.International journal of molecular sciences · 2021Article
- Semisynthesis of Selenoauraptene.Molecules (Basel, Switzerland) · 2021Article
- Modeling Pharmacokinetic Natural Product-Drug Interactions for Decision-Making: A NaPDI Center Recommended Approach.Pharmacological reviews · 2021Review
- Propolis antiviral and immunomodulatory activity: a review and perspectives for COVID-19 treatment.The Journal of pharmacy and pharmacology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesMany natural products have pharmacological or biological activities that can be of therapeutic benefit in treating diseases, and are also an important source of inspiration for development of potential novel drugs. The past few decades have witnessed extensive study of natural products for their promising prospects in application of medicinal chemistry, molecular biology and pharmaceutical sciences. MATERIALS AND
methodsNatural product databases have provided systematic collection of information concerning natural products and their derivatives, including structure, source and mechanisms of action, which significantly support modern drug discovery.
resultsCurrently, a considerable number of natural product databases, such as TCM Database@Taiwan, TCMID, CEMTDD, SuperToxic and SuperNatural, have been developed, providing data such as integrated medicinal herbs, ingredients, 2D/3D structures of the compounds, related target proteins, relevant diseases, and metabolic toxicity and more.
conclusionsWe focus on an analytical overview of current natural product databases, and further discuss the good, bad or imperfection of current ones, in the hope of better integrating existing relevant outcomes, thus providing new routes for future drug discovery.
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What OpenQuestion holds
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.