ReviewNatural product reports2022
Artificial intelligence in microbial natural product drug discovery: current and emerging role.
Review in Natural product reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Siwa spring microbiomes as reservoirs of biosynthetic gene clusters: Unlocking natural product potential.World journal of microbiology & biotechnology · 2026Article
- The Computational Revolution in Natural Product Research: A Data-Driven Roadmap for Next-Generation Drug Development.Biology · 2026Review
- Rethinking Nature's Pharmacy: AI Era and Natural Product Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Advances in natural product discovery: strategies, technologies, and insights.Natural products and bioprospecting · 2026Review
- Leveraging artificial intelligence for efficient microbial production.Bioresource technology · 2026Review
- Recent strategies and methodological advances for microbial natural product research in the post-genomics era.Archives of microbiology · 2025Review
- Research Progress on the Biological Activities and Clinical Applications of Pseudoprotodioscin.Current issues in molecular biology · 2025Review
- Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches.Cancer biology & medicine · 2025Review
- Engineering Useful Microbial Species for Pharmaceutical Applications.Microorganisms · 2025Review
- Enhanced metagenomic strategies for elucidating the complexities of gut microbiota: a review.Frontiers in microbiology · 2025Review
- Can artificial intelligence uncover the bioactive peptides' benefits for human health and knowledge? A narrative review.Frontiers in nutrition · 2025Review
- Can Artificial Intelligence Enhance the Antimicrobial Effectiveness of Photodynamic Therapy? What We Know and What We Do Not Know?Journal of lasers in medical sciences · 2025Review
- A Comprehensive Overview of Postbiotics with a Special Focus on Discovery Techniques and Clinical Applications.Foods (Basel, Switzerland) · 2024Review
- Metallo-protease Peptidase M84 fromiScience · 2024Article
- Small molecule inhibitors targeting mJournal of hematology & oncology · 2024Review
- Preparation of imidazole-modified paper membrane for selective extraction of gallic acid and its structural and functional analogues fromRSC advances · 2024Article
- The contemporary nexus of medicines security and bioprospecting: a future perspective for prioritizing the patient.Natural products and bioprospecting · 2024Review
- Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies.Biomedicines · 2024Review
- A Data Deposition Platform for Sharing Nuclear Magnetic Resonance Data.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
6 authors.
Funding
Abstract
Covering: up to the end of 2022Microorganisms are exceptional sources of a wide array of unique natural products and play a significant role in drug discovery. During the golden era, several life-saving antibiotics and anticancer agents were isolated from microbes; moreover, they are still widely used. However, difficulties in the isolation methods and repeated discoveries of the same molecules have caused a setback in the past. Artificial intelligence (AI) has had a profound impact on various research fields, and its application allows the effective performance of data analyses and predictions. With the advances in omics, it is possible to obtain a wealth of information for the identification, isolation, and target prediction of secondary metabolites. In this review, we discuss drug discovery based on natural products from microorganisms with the help of AI and machine learning.
Indexed as
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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.