ReviewInternational journal of molecular sciences2018
Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery.
Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 461 papers, 4 of them syntheses that pooled it.
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
461 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Phytochemical, Nutritional and Physicochemical Characteristics of Fruits and Leaves from theInternational journal of molecular sciences · 2026Pooled it
- A Systematic Review of Plants Used for the Treatment of Diarrhea in Mozambique.BioMed research international · 2026Pooled it
- The Search for Drugs Derived from Natural Products forCurrent topics in medicinal chemistry · 2024Pooled it
- Meta-analysis of the anti-oxidative and anti-inflammatory effects of hypoglycaemic plant-derived medicines.Inflammopharmacology · 2023Pooled it
- Targeting the tumor microenvironment: a new strategy for natural products in breast cancer therapy.Natural products and bioprospecting · 2026Review
- Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.Molecular biomedicine · 2026Review
- Metabolomics-guided network pharmacology and molecular modeling suggest bioactive components of Chiliadenus montanus associated with multi-target anticancer and anti-inflammatory activities.Medical oncology (Northwood, London, England) · 2026Article
- LC-QTOF-MS Chemical Characterization, Cytotoxicity, and Antimicrobial Activity of Blue Geopropolis: An Emerging Type of Brazilian Propolis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Plant-Based Therapeutics Against Communicable Diseases: A Review of Ethnopharmacology and Medicinal Chemistry Approaches.Chemistry & biodiversity · 2026Review
- Phytochemical Characterization and High-Speed Countercurrent Chromatography-Assisted Isolation of Flavonoids from Leaves ofPlants (Basel, Switzerland) · 2026Article
- Periconoid A, a Novel Ergosterol Derivative fromMarine drugs · 2026Article
- Pharmacognostic Characterization ofPlants (Basel, Switzerland) · 2026Article
- Article
- Effectiveness of Natural Deep Eutectic Solvents (NADES) in Extracting Bioactive Compounds fromACS omega · 2026Article
- Natural Products as Promising Pharmacological Agents Against Cancer: A Holistic Overview of Their Anti-Cancer Mechanisms of Action of the Last Five Years.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Research Progress on Chinese Herbal Medicine Components Targeting Ferroptosis for Cancer Therapy.Molecules (Basel, Switzerland) · 2026Review
- Nanoemulsions of 1,8-cineole, and Eucalyptus globulus and Laurus nobilis essential oils: cytotoxic, antibacterial, and antioxidant activities.BMC complementary medicine and therapies · 2026Article
- Reducing effects of isoliquiritigenin, a naturally occurring GABAPsychopharmacology · 2026Article
- The Computational Revolution in Natural Product Research: A Data-Driven Roadmap for Next-Generation Drug Development.Biology · 2026Review
- Genistein and Butein as Bioactive Polyphenols: Molecular Targets, Metabolic Regulation, and Mechanistic Insights.Life (Basel, Switzerland) · 2026Review
401 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The therapeutic properties of plants have been recognised since time immemorial. Many pathological conditions have been treated using plant-derived medicines. These medicines are used as concoctions or concentrated plant extracts without isolation of active compounds. Modern medicine however, requires the isolation and purification of one or two active compounds. There are however a lot of global health challenges with diseases such as cancer, degenerative diseases, HIV/AIDS and diabetes, of which modern medicine is struggling to provide cures. Many times the isolation of "active compound" has made the compound ineffective. Drug discovery is a multidimensional problem requiring several parameters of both natural and synthetic compounds such as safety, pharmacokinetics and efficacy to be evaluated during drug candidate selection. The advent of latest technologies that enhance drug design hypotheses such as Artificial Intelligence, the use of 'organ-on chip' and microfluidics technologies, means that automation has become part of drug discovery. This has resulted in increased speed in drug discovery and evaluation of the safety, pharmacokinetics and efficacy of candidate compounds whilst allowing novel ways of drug design and synthesis based on natural compounds. Recent advances in analytical and computational techniques have opened new avenues to process complex natural products and to use their structures to derive new and innovative drugs. Indeed, we are in the era of computational molecular design, as applied to natural products. Predictive computational softwares have contributed to the discovery of molecular targets of natural products and their derivatives. In future the use of quantum computing, computational softwares and databases in modelling molecular interactions and predicting features and parameters needed for drug development, such as pharmacokinetic and pharmacodynamics, will result in few false positive leads in drug development. This review discusses plant-based natural product drug discovery and how innovative technologies play a role in next-generation drug discovery.
Indexed as
Identifiers
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.