ReviewFrontiers in pharmacology2020
Unraveling Plant Natural Chemical Diversity for Drug Discovery Purposes.
Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.
What it found
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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
90 citing papers in PubMed, 218 citations in OpenAlex.
- Special Issue "Bioactive Compounds in the Prevention of Chronic Diseases".International journal of molecular sciences · 2026Article
- Mutant-Selective Binding ofInternational journal of molecular sciences · 2026Article
- Tomentosin selectively targets microglial pyroptosis to overcome fluoxetine-resistant depression: a network-based therapeutic discovery.Translational psychiatry · 2026Article
- Repositioning Natural Products in Modern Drug Discovery: Technological Innovation, Systems Pharmacology, and Pathological Validation.International journal of molecular sciences · 2026Review
- Comprehensive Characterization of Polyphenols from Salvia chudaei: HPLC-PDA Profiling, in vitro Biological Activities, and in silico Enzyme Interactions.The protein journal · 2026Article
- Plant-derived compounds as potential candidates for atrial fibrillation drug discovery: A review on phytochemicals with atrial-selective activity.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
- Exploring the Anticancer Potential ofCurrent medicinal chemistry · 2026Article
- Phytochemicals: Principles and Practice.Biology · 2025Review
- Essential Oils as Antimicrobial Agents Against WHO Priority Bacterial Pathogens: A Strategic Review of In Vitro Clinical Efficacy, Innovations and Research Gaps.Antibiotics (Basel, Switzerland) · 2025Review
- Computational screening and molecular dynamics of natural compounds targeting the SH2 domain of STAT3: a multitarget approach using network pharmacology.Molecular diversity · 2025Article
- The Efficacy of Melatonergic Receptor Agonists Used in Clinical Practice in Insomnia Treatment: Melatonin, Tasimelteon, Ramelteon, Agomelatine, and Selected Herbs.Molecules (Basel, Switzerland) · 2025Review
- Elucidating the Neuroprotective Mechanism of 5,7-Dimethoxyflavone and 5,7',4'-Trimethoxyflavone Through In Silico Target Prediction and in Memory-Impaired Mice.Neurochemical research · 2025Article
- ShennongAlpha: an AI-driven sharing and collaboration platform for intelligent curation, acquisition, and translation of natural medicinal material knowledge.Cell discovery · 2025Article
- Natural drug delivery systems for the treatment of neurodegenerative diseases.Molecular biology reports · 2025Review
- The anti-melanoma roles and mechanisms of tricholoma isoflavone derivative CA028.NPJ science of food · 2025Article
- Antidiabetic Potential ofScientifica · 2025Article
- Further elaboration of the stereodivergent approach to chaetominine-type alkaloids: synthesis of the reported structures of aspera chaetominines A and B and revised structure of aspera chaetominine B.Beilstein journal of organic chemistry · 2025Article
- ExploringFrontiers in pharmacology · 2025Article
- Medicinal plants: bioactive compounds, biological activities, combating multidrug-resistant microorganisms, and human health benefits - a comprehensive review.Frontiers in immunology · 2025Review
- Anti-metastasis Effects and Mechanism of Action of Curcumin Analog (2E,6E)-2,6-bis(2,3-dimethoxybenzylidene) Cyclohexanone (DMCH) on the SW620 Colorectal Cancer Cell Line.Anti-cancer agents in medicinal chemistry · 2025Article
30 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
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The screening and testing of extracts against a variety of pharmacological targets in order to benefit from the immense natural chemical diversity is a concern in many laboratories worldwide. And several successes have been recorded in finding new actives in natural products, some of which have become new drugs or new sources of inspiration for drugs. But in view of the vast amount of research on the subject, it is surprising that not more drug candidates were found. In our view, it is fundamental to reflect upon the approaches of such drug discovery programs and the technical processes that are used, along with their inherent difficulties and biases. Based on an extensive survey of recent publications, we discuss the origin and the variety of natural chemical diversity as well as the strategies to having the potential to embrace this diversity. It seemed to us that some of the difficulties of the area could be related with the technical approaches that are used, so the present review begins with synthetizing some of the more used discovery strategies, exemplifying some key points, in order to address some of their limitations. It appears that one of the challenges of natural product-based drug discovery programs should be an easier access to renewable sources of plant-derived products. Maximizing the use of the data together with the exploration of chemical diversity while working on reasonable supply of natural product-based entities could be a way to answer this challenge. We suggested alternative ways to access and explore part of this chemical diversity with
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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.