ReviewNature reviews. Drug discovery2023
Artificial intelligence for natural product drug discovery.
Review in Nature reviews. Drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 201 papers, 5 of them syntheses that pooled it.
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
201 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- A Systematic Review of Alternative Artemisinin Production Strategies.International journal of molecular sciences · 2025Pooled it
- Meta-analysis and review of in silico methods in drug discovery - part 1: technological evolution and trends from big data to chemical space.The pharmacogenomics journal · 2025Pooled it
- Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis.Frontiers in medicine · 2025Pooled it
- Quercetin exhibits multi-target anti-allergic effects in animal models: a systematic review and meta-analysis of preclinical studies.Frontiers in pharmacology · 2025Pooled it
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Design, synthesis, and biological evaluation of 6-aryl-3-(3,4,5-trimethoxyphenyl)imidazo[1,2-a]pyridine derivatives as novel tubulin inhibitors with potent anticancer efficacy.Journal of enzyme inhibition and medicinal chemistry · 2026Article
- Fast, flexible gene cluster family delineation with IGUA.Nucleic acids research · 2026Article
- Antibiotic-producing microorganisms: taxonomic diversity, screening strategies, and emerging and underexploited antibacterial targets.Archives of microbiology · 2026Review
- MacroTox: A Macroscopic Graph Topology-Based Multimodal Learning Framework for Robust Molecular Toxicity Prediction.JACS Au · 2026Article
- Article
- Beyond Conventional: A Review of Phytochemical-Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Process Analytical Technology Integration in 3D Printing Processes: Benefits and Challenges.AAPS PharmSciTech · 2026Review
- Bufalin-Loaded Multifunctional Nanodrugs for Cancer Therapy: Mechanisms, Delivery Strategies, and Translational Perspectives.Biomolecules · 2026Review
- Berberine as a Promising Antifungal Agent: Insights into Molecular Mechanisms and Therapeutic Potential.ACS omega · 2026Review
- Natural Small Molecules Targeting Mitochondrial Quality Control for the Treatment of Metabolic Diseases: Mechanisms, Novel Formulations, and Translational Perspectives.Pharmaceuticals (Basel, Switzerland) · 2026Review
- A multi-evidence computational and experimental strategy forRSC medicinal chemistry · 2026Article
- Few-shot learning-driven discovery of Lutein suppresses Th1-mediated inflammation via glucose metabolism.Acta pharmacologica Sinica · 2026Article
- Integrative Multi-omics and Machine Learning Reveal the Therapeutic Mechanisms of Juanyu-Xiaozhi Formula in Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatic Fibrosis via the AP-1/PPARγ/SCD1 Axis.Journal of clinical and translational hepatology · 2026Article
- Data-centric feedback loops for next-generation immunotherapy development.Nature biomedical engineering · 2026Review
- Marine-Derived Natural Products Against Flaviviruses: Mechanisms, Evidence, and Future Directions.Marine drugs · 2026Review
141 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
58 authors.
Funding
Abstract
Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to exciting developments in the computational drug design field, facilitating biological activity prediction and de novo drug design for molecular targets of interest. Here, we describe current and future synergies between these developments to effectively identify drug candidates from the plethora of molecules produced by nature. We also discuss how to address key challenges in realizing the potential of these synergies, such as the need for high-quality datasets to train deep learning algorithms and appropriate strategies for algorithm validation.
Indexed as
Identifiers
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.