Antibiotic discovery with machine learning.

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.

1. Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges.Epilepsia open · 2025
   Review
2. AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer.BMC biology · 2025
   Article
3. CombattingAntibiotics (Basel, Switzerland) · 2025
   Review
4. Non-Canonical Aspects of Antibiotics and Antibiotic Resistance.Antibiotics (Basel, Switzerland) · 2024
   Review
5. Establishment and evaluation of on-chip intestinal barrier biosystems based on microfluidic techniques.Materials today. Bio · 2024
   Review
6. Development of Antiepileptic Drugs throughout History: From Serendipity to Artificial Intelligence.Biomedicines · 2023
   Review
7. [Application areas of artificial intelligence in the context of One Health with a focus on antimicrobial resistance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023
   Review
8. Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation.Antibiotics (Basel, Switzerland) · 2023
   Review
9. Evolution of Antimicrobial Susceptibility to Penicillin in Invasive Strains ofAntibiotics (Basel, Switzerland) · 2023
   Article
10. Antibiotic resistant bacteria: A bibliometric review of literature.Frontiers in public health · 2022
    Review
11. Recombinant production of antimicrobial peptides in plants.Biotechnology advances
    Review

Corrections and comments

• Comment on
  Identification of antimicrobial peptides from the human gut microbiome using deep learning.2022

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as