ReviewBiomedicines2024
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies.
Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 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
152 citing papers in PubMed, 269 citations in OpenAlex.
- Convolvulus althaeoides as a Potential Natural Source in Cancer Prophylaxis and Treatment: LC-ESI-MS/MS, GC-MS, In Vitro, and In Silico Investigations.Chemistry & biodiversity · 2026Article
- Overcoming Docetaxel Resistance in Prostate Cancer by Targeting Cell Cycle Progression with Narciclasine-Based Compounds.ACS omega · 2026Article
- Quantitative Structure-Activity Relationship Approaches for Exploring the Anticancer Potential of Flavonoids.Chemistry & biodiversity · 2026Review
- Antitumor properties of fungal-derived compounds: potential applications in skin cancer therapy.Molecular biology reports · 2026Review
- Goniothalamin as a Styryl-Lactone Toxicophore in Cancer Models: Electrophile-Driven DNA Damage, Reactive Oxygen Species-Endoplasmic Reticulum Stress Signaling and Detoxification-Relevant Safety Considerations.Journal of biochemical and molecular toxicology · 2026Review
- In Vivo Evaluation of Psoralen in a Copper Sulfate-Induced Chick (Gallus gallus domesticus) Emesis Model and In Silico Analysis of Its Interaction With DChemistryOpen · 2026Article
- Article
- Review
- Venom-Derived Enzyme Inhibitors as Anticancer Agents: Structure-Activity Relationships, Molecular Targets and Mechanistic Insights.Molecules (Basel, Switzerland) · 2026Review
- Computational Trial of Prophylactic Biostimulator Interventions to Mitigate Facial Sagging Associated With GLP-1 Receptor Agonist Induced Weight Loss.Aesthetic plastic surgery · 2026Article
- Therapeutic potential of inhibitors of gelatinases MMP-2 and MMP-9 for the treatment of breast cancer.The FEBS journal · 2026Review
- Nootkatone as a multi-target modulator of the PD-L1/PD-1 signaling in pancreatic cancer: network pharmacology, docking, molecular dynamics, and DFT analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Reprogramming parasitic signatures into anticancer peptide candidates: in silico discovery of Leishmania major-derived peptides.Amino acids · 2026Article
- Exploring Natural Products with Antioxidant and Anticancer Properties.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Computational discovery of emodin-based anthraquinones as PARP-1 inhibitors with relevance to ovarian and prostate cancer.Scientific reports · 2026Article
- Plant extracts and phytochemicals in canine and feline mammary cancer models: current evidence and comparative perspectives.Veterinary research communications · 2026Review
- Sesquiterpene-rich Root Essential Oil of Nardostachys jatamansi Exhibits Antiproliferative and Pro-apoptotic Activity in Colon Cancer Cells.Applied biochemistry and biotechnology · 2026Article
- Development of Albumin Nanocarriers for Enhanced Curcumin Delivery and In Vitro Anticancer Activity in Colon Cancer Cells.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Recent Developments in Ferulic Acid- and Caffeic Acid-Based Hybrids with Potential Anticancer Properties.Molecules (Basel, Switzerland) · 2026Review
- Mitochondrial oxidative phosphorylation inhibition by 9α,11α-dihydroxy-kaurenoic acid promotes ROS-associated apoptosis and suppresses cancer stemness in non-small cell lung cancer.Scientific reports · 2026Article
92 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Globally, malignancies cause one out of six mortalities, which is a serious health problem. Cancer therapy has always been challenging, apart from major advances in immunotherapies, stem cell transplantation, targeted therapies, hormonal therapies, precision medicine, and palliative care, and traditional therapies such as surgery, radiation therapy, and chemotherapy. Natural products are integral to the development of innovative anticancer drugs in cancer research, offering the scientific community the possibility of exploring novel natural compounds against cancers. The role of natural products like Vincristine and Vinblastine has been thoroughly implicated in the management of leukemia and Hodgkin's disease. The computational method is the initial key approach in drug discovery, among various approaches. This review investigates the synergy between natural products and computational techniques, and highlights their significance in the drug discovery process. The transition from computational to experimental validation has been highlighted through in vitro and in vivo studies, with examples such as betulinic acid and withaferin A. The path toward therapeutic applications have been demonstrated through clinical studies of compounds such as silvestrol and artemisinin, from preclinical investigations to clinical trials. This article also addresses the challenges and limitations in the development of natural products as potential anti-cancer drugs. Moreover, the integration of deep learning and artificial intelligence with traditional computational drug discovery methods may be useful for enhancing the anticancer potential of natural products.
Indexed as
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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.