ReviewJournal of natural products2015
Connecting phenotype and chemotype: high-content discovery strategies for natural products research.
Review in Journal of natural products, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Phylogeny-Aware Metabologenomics Accurately Assigns Natural Products to Biosynthetic Gene Clusters.Microbial biotechnology · 2026Article
- Productive chaos and precision engineering: decoupling discovery from manufacturing to revolutionize plant-inspired therapeutics.Frontiers in plant science · 2026Article
- Progress and challenges in exploring aquatic microbial communities using non-targeted metabolomics.The ISME journal · 2023Review
- Plant Extracts as a Source of Natural Products with Potential Antimalarial Effects: An Update from 2018 to 2022.Pharmaceutics · 2023Review
- Review
- MS/MS-Based Molecular Networking: An Efficient Approach for Natural Products Dereplication.Molecules (Basel, Switzerland) · 2022Review
- A statistical framework for high-content phenotypic profiling using cellular feature distributions.Communications biology · 2022Article
- Genomic and Chemical Decryption of the Bacteroidetes Phylum for Its Potential to Biosynthesize Natural Products.Microbiology spectrum · 2022Article
- Image-based profiling for drug discovery: due for a machine-learning upgrade?Nature reviews. Drug discovery · 2021Review
- Biologically active marine natural products and their molecular targets discovered using a chemical genetics approach.Natural product reports · 2020Review
- Engineering enzymatic assembly lines to produce new antibiotics.Current opinion in microbiology · 2019Review
- High content screening for drug discovery from traditional Chinese medicine.Chinese medicine · 2019Review
- Correlating chemical diversity with taxonomic distance for discovery of natural products in myxobacteria.Nature communications · 2018Article
- Using natural products for drug discovery: the impact of the genomics era.Expert opinion on drug discovery · 2017Review
- Glycosylated Triterpenoids as Endosomal Escape Enhancers in Targeted Tumor Therapies.Biomedicines · 2017Review
- Natural products as mediators of disease.Natural product reports · 2017Review
- Screening and identification of novel biologically active natural compounds.F1000Research · 2017Review
- β-Ecdysterone Protects SH-SY5Y Cells Against 6-Hydroxydopamine-Induced Apoptosis via Mitochondria-Dependent Mechanism: Involvement of p38(MAPK)-p53 Signaling Pathway.Neurotoxicity research · 2016Article
- Current status and contemporary approaches to the discovery of antitumor agents from higher plants.Biotechnology advancesReview
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
In recent years, the field of natural products has seen an explosion in the breadth, resolution, and accuracy of profiling platforms for compound discovery, including many new chemical and biological annotation methods. With these new tools come opportunities to examine extract libraries using systematized profiling approaches that were not previously available to the field and which offer new approaches for the detailed characterization of the chemical and biological attributes of complex natural products mixtures. This review will present a summary of some of these untargeted profiling methods and provide perspective on the future opportunities offered by integrating these tools for novel natural products discovery.
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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.