ReviewClinical and translational medicine2025
Engineering the future of medicine: Natural products, synthetic biology and artificial intelligence for next-generation therapeutics.
Review in Clinical and translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Heterologous expression of NRPS and PKS pathways in Escherichia coli: from bottlenecks to biosynthetic platforms.Essays in biochemistry · 2026Review
- Resilience of recombinant antibiotic resistance gene-containing plasmids against common cell culture disposal methods.Cell reports methods · 2026Article
- AI-Driven Plant-Derived Anti-Infectives: Integrating Traditional Wisdom into Precision Medicine Against AMR.Life (Basel, Switzerland) · 2026Review
- Artificial intelligence and synthetic biology in traditional Chinese medicine: revolutionizing public health applications.Frontiers in plant science · 2026Review
- Engineering the future of medicine: Natural products, synthetic biology and artificial intelligence for next-generation therapeutics.Clinical and translational medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The eXchange Unit between Thiolation domains approach and artificial intelligence (AI)-driven tools like Synthetic Intelligence are transforming nonribosomal peptide synthetase and polyketide synthase engineering, enabling the creation of novel bioactive compounds that address critical challenges like antibiotic resistance and cancer. These innovations expand chemical space and optimize biosynthetic pathways, offering precise and scalable therapeutic solutions. Collaboration across synthetic biology, AI, and clinical research is essential to translating these breakthroughs into next-generation treatments and revolutionizing drug discovery and patient care.
Indexed as
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.