ArticleACS central science2024
A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery.
Article in ACS central science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Nature meets machine: the AI renaissance in natural product drug discovery.Natural products and bioprospecting · 2026Review
- METRIN-KG: A knowledge graph integrating plant metabolites, traits, and biotic interactions.GigaScience · 2026Article
- The Brazilian Caatinga Biome as a Hotspot for the Isolation of Antibiotic-ProducingLife (Basel, Switzerland) · 2025Article
- Technological Evolution and Research Trends of Intelligent Question-Answering Systems in Healthcare.Healthcare (Basel, Switzerland) · 2025Review
- A million shades of green: understanding and harnessing plant metabolic diversity.The EMBO journal · 2025Review
- Effective data visualization strategies in untargeted metabolomics.Natural product reports · 2025Review
- A universal language for finding mass spectrometry data patterns.Nature methods · 2025Article
- Efficient constitution of a library of rotenoid analogs active againstRSC advances · 2025Article
- Prioritization of novel anti-infective stilbene derivatives by combining metabolomic data organization and a stringent 3R-infection model in a knowledge graph.RSC advances · 2025Article
- Defining the limits of plant chemical space: challenges and estimations.GigaScience · 2025Article
- Integration of Wnt-inhibitory activity and structural novelty scoring results to uncover novel bioactive natural products: new Bicyclo[3.3.1]non-3-ene-2,9-diones from the leaves ofFrontiers in chemistry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ENPKG framework organizes large heterogeneous metabolomics data sets as a knowledge graph, offering exciting opportunities for drug discovery and chemodiversity characterization.
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.