ReviewMedicinal research reviews2016
Strategies for the Optimization of Natural Leads to Anticancer Drugs or Drug Candidates.
Review in Medicinal research reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- Mechanistic Insights into Dihydromyricetin: Redox Modulation and Kinase-Mediated Control of Disease Pathogenesis.International journal of molecular sciences · 2026Review
- Natural Products in Epilepsy Treatment: From Traditional Medicine Towards Computational Drug Discovery.Current issues in molecular biology · 2026Review
- Investigating the impact and mechanism of Licochalcone B derivative CTG12 on NLRP3 inflammasome.Cell communication and signaling : CCS · 2026Article
- Carnosic Acid and Its Semisynthetic Derivatives as Promising Anticancer Agents.International journal of molecular sciences · 2026Review
- Identification of a Novel Trifluoromethyl-Bearing Flavonoid as a Promising Androgen Receptor Antagonist: Structure-Based Virtual Screening and In Vitro Study.Computational and structural biotechnology journal · 2026Article
- XAI-ACSM: An Ensemble-Based Explainable Artificial Intelligence Framework for the Accurate Prediction of Anticancer Small Molecules.ACS omega · 2025Article
- High-Frequency Microfluidic Fractionation for Compound-Resolved Bioactivity-Based Metabolomics.Analytical chemistry · 2025Article
- Exploration of the Tertiary Amide Chemical Space of Dolastatin 15 Analogs Reveals New Insights into the Structure-Anticancer Activity Relationship.ChemMedChem · 2025Article
- 4(3International journal of molecular sciences · 2025Review
- Modification in Structures of Active Compounds in Anticancer Mitochondria-Targeted Therapy.International journal of molecular sciences · 2025Review
- Design and Development of [1,2,4]Triazolo[4,3-b][1,2,4]triazines as Potential Anticancer Agents with Genotoxicity and Apoptotic Activity.Medicinal chemistry (Shariqah (United Arab Emirates)) · 2025Article
- A novel approach to enhance beta-sitosterol bioavailability isolated fromFrontiers in oncology · 2025Article
- Isoflavone Derivatives as Potential Anticancer Agents: Synthesis and Bioactivity Studies.ChemMedChem · 2024Review
- Group graph: a molecular graph representation with enhanced performance, efficiency and interpretability.Journal of cheminformatics · 2024Article
- Endophytic fungi: A future prospect for breast cancer therapeutics and drug development.Heliyon · 2024Review
- Complications and comorbidities associated with antineoplastic chemotherapy: Rethinking drug design and delivery for anticancer therapy.Acta pharmaceutica Sinica. B · 2024Review
- From Plant to Chemistry: Sources of Antinociceptive Non-Opioid Active Principles for Medicinal Chemistry and Drug Design.Molecules (Basel, Switzerland) · 2024Review
- Bioactive compounds fromIn silico pharmacology · 2024Article
- In vitro cytotoxic effect of stigmasterol derivatives against breast cancer cells.BMC complementary medicine and therapies · 2023Article
- Sophorolipid Candidates Demonstrate Cytotoxic Efficacy against 2D and 3D Breast Cancer Models.Journal of natural products · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Natural products have made significant contribution to cancer chemotherapy over the past decades and remain an indispensable source of molecular and mechanistic diversity for anticancer drug discovery. More often than not, natural products may serve as leads for further drug development rather than as effective anticancer drugs by themselves. Generally, optimization of natural leads into anticancer drugs or drug candidates should not only address drug efficacy, but also improve absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles and chemical accessibility associated with the natural leads. Optimization strategies involve direct chemical manipulation of functional groups, structure-activity relationship directed optimization and pharmacophore-oriented molecular design based on the natural templates. Both fundamental medicinal chemistry principles (e.g., bioisosterism) and state-of-the-art computer-aided drug design techniques (e.g., structure-based design) can be applied to facilitate optimization efforts. In this review, the strategies to optimize natural leads to anticancer drugs or drug candidates are illustrated with examples and described according to their purposes. Furthermore, successful case studies on lead optimization of bioactive compounds performed in the Natural Products Research Laboratories at UNC are highlighted.
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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.