ReviewInternational journal of molecular sciences2024
Phytochemicals in Drug Discovery-A Confluence of Tradition and Innovation.
Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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
48 citing papers in PubMed.
- Mitigating PM2.5-induced skin injury and aging: botanical strategies targeting redox and inflammatory pathways.Redox report : communications in free radical research · 2026Review
- Computationally Generated Plant-Derived Berberine-Based Hybrid Compounds as Potential Dual Binders toInternational journal of molecular sciences · 2026Article
- Antioxidant and anti-inflammatory effects of the extract from rhizomes ofExperimental and therapeutic medicine · 2026Article
- Phytocompounds with immunomodulatory activities: mechanisms, therapeutic potential, and clinical prospects.Inflammopharmacology · 2026Review
- Phytochemical Characterization, Molecular Docking Analysis, and In Vitro Antischistosomal Activity of Capsicum annuum Methanolic Extract.Chemistry & biodiversity · 2026Article
- Dihydroergotamine alleviates circadian rhythm disorders through predicted interaction with to CRY1.Molecular diversity · 2026Article
- Rethinking Alzheimer's Disease Therapy: From Amyloid-Centric Approaches to Multi-Target Phytochemical Strategies.Journal of neurochemistry · 2026Review
- Review
- Phytochemical Profiling and Subacute Toxicity Assessment of Miliusa nilagirica Carbinolic Extract in Murine Models With Antioxidant and Antidiabetic Potential.Applied biochemistry and biotechnology · 2026Article
- Artificial intelligence-based screening of phytochemicals for targeted cancer therapy.Natural products and bioprospecting · 2026Review
- Genistein and Butein as Bioactive Polyphenols: Molecular Targets, Metabolic Regulation, and Mechanistic Insights.Life (Basel, Switzerland) · 2026Review
- Article
- Development and Characterization ofLife (Basel, Switzerland) · 2026Article
- Tracing the origins of molecular signals in food through integrative metabolomics and chemical databases.NPJ science of food · 2026Article
- Anticancer potential of mangrove derived metabolites: cytotoxicity and phytochemical based studies.BMC complementary medicine and therapies · 2026Article
- Article
- Unveiling the multitarget anticancer potential of Cochlospermum religiosum: phytochemical profiling, molecular docking, and in vitro/in vivo validation.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Article
- Tropical Almond Tree (Pharmaceuticals (Basel, Switzerland) · 2026Review
- Metabolomics-Driven Precision Prevention and Treatment of Heart Failure with Traditional Chinese Medicine: From Mechanistic Insights to Metabolic Network Regulation.Drug design, development and therapy · 2026Review
- Molecular mechanisms of traditional Chinese medicine in skin aging: a narrative review.Frontiers in pharmacology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phytochemicals have a long and successful history in drug discovery. With recent advancements in analytical techniques and methodologies, discovering bioactive leads from natural compounds has become easier. Computational techniques like molecular docking, QSAR modelling and machine learning, and network pharmacology are among the most promising new tools that allow researchers to make predictions concerning natural products' potential targets, thereby guiding experimental validation efforts. Additionally, approaches like LC-MS or LC-NMR speed up compound identification by streamlining analytical processes. Integrating structural and computational biology aids in lead identification, thus providing invaluable information to understand how phytochemicals interact with potential targets in the body. An emerging computational approach is machine learning involving QSAR modelling and deep neural networks that interrelate phytochemical properties with diverse physiological activities such as antimicrobial or anticancer effects.
Indexed as
Identifiers
What Socratic 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 Socratic graph.