ReviewNatural product reports2016
Comparison of analytical techniques for the identification of bioactive compounds from natural products.
Review in Natural product reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Natural Bioactive Compounds: Integrated Analytical and Biological Approaches for the Special Issue "Analysis and Biological Evaluation of Bioactive Compounds from Natural Sources".Molecules (Basel, Switzerland) · 2026Article
- Unlocking theMolecules (Basel, Switzerland) · 2025Article
- Trace component fishing strategy based on offline two-dimensional liquid chromatography combined with PRDX3-surface plasmon resonance forJournal of pharmaceutical analysis · 2025Article
- A Combined Computational and Experimental Approach to Studying Tropomyosin Kinase Receptor B Binders for Potential Treatment of Neurodegenerative Diseases.Molecules (Basel, Switzerland) · 2024Article
- A review on the cultivation, bioactive compounds, health-promoting factors and clinical trials of medicinal mushrooms Taiwanofungus camphoratus, Inonotus obliquus and Tropicoporus linteus.Fungal biology and biotechnology · 2024Review
- Target Screen of Anti-Hyperuricemia Compounds from Cortex Fraxini In Vivo Based on ABCG2 and Bioaffinity Ultrafiltration Mass Spectrometry.Molecules (Basel, Switzerland) · 2023Article
- Combination of bioaffinity ultrafiltration-UFLC-ESI-Q/TOF-MS/MS, in silico docking and multiple complex networks to explore antitumor mechanism of topoisomerase I inhibitors from Artemisiae Scopariae Herba.BMC complementary medicine and therapies · 2023Article
- Exploration of Antimicrobial Ingredients inMolecules (Basel, Switzerland) · 2022Article
- High-Resolution Bioassay Profiling with Complemented Sensitivity and Resolution for Pancreatic Lipase Inhibitor Screening.Molecules (Basel, Switzerland) · 2022Article
- Article
- A preparation strategy for protein-oriented immobilized silica magnetic beads with Spy chemistry for ligand fishing.Journal of pharmaceutical analysis · 2022Article
- Drug discovery from natural products - Old problems and novel solutions for the treatment of neurodegenerative diseases.Journal of pharmaceutical and biomedical analysis · 2022Review
- The Fluorescence Detection of Phenolic Compounds inPlants (Basel, Switzerland) · 2022Article
- Cellular Membrane Affinity Chromatography Columns to Identify Specialized Plant Metabolites Interacting with Immobilized Tropomyosin Kinase Receptor B.Journal of visualized experiments : JoVE · 2022Article
- A Comprehensive 2D-LC/MS Online Platform for Screening of Acetylcholinesterase Inhibitors.Frontiers in molecular biosciences · 2022Article
- Progress of isolation, chemical synthesis and biological activities of natural chalcones bearing 2-hydroxy-3-methyl-3-butenyl group.Frontiers in chemistry · 2022Review
- Recent advance in the discovery of tyrosinase inhibitors from natural sources via separation methods.Journal of enzyme inhibition and medicinal chemistry · 2021Review
- Dereplication Based Strategy for Rapid Identification and Isolation of a Novel Anti-inflammatory Flavonoid by LCMS/MS fromACS omega · 2021Article
- Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes.Chinese medicine · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Covering: 2000 to 2016Natural product extracts are a rich source of bioactive compounds. As a result, the screening of natural products for the identification of novel biologically active metabolites has been an essential part of several drug discovery programs. It is estimated that more than 70% of all drugs approved from 1981 and 2006, were either derived from or structurally similar to nature based compounds indicating the necessity for the development of a rapid method for the identification of novel compounds from plant extracts. The screening of biological matrices for the identification of novel modulators is nevertheless still challenging. In this review we discuss current techniques in phytochemical analysis and the identification of biologically active components.
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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.