ArticleCell2018
Discovery of Next-Generation Antimicrobials through Bacterial Self-Screening of Surface-Displayed Peptide Libraries.
Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 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
91 citing papers in PubMed, 154 citations in OpenAlex.
- Harnessing generative AI for predicting and optimizing antimicrobial peptides against drug-resistant infections.npj antimicrobials and resistance · 2026Article
- De Novo Multi-Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- β-Hairpin Antimicrobial Peptides: Class Diversity and Sequence Analysis.ACS infectious diseases · 2026Review
- Universal Baseline forbioRxiv : the preprint server for biology · 2026Article
- D-amino acid substitution and cyclization enhance the stability and antimicrobial activity of arginine-rich peptides.Microbiology (Reading, England) · 2026Article
- Peptide-based drug design using generative AI.Chemical communications (Cambridge, England) · 2026Review
- Fighting the invader: strategies against intracellular bacteria.Frontiers in pharmacology · 2026Review
- Antimicrobial peptides: structure, functions and translational applications.Nature reviews. Microbiology · 2025Review
- Drug Repurposing: An Emerging Strategy inJournal of microbiology and biotechnology · 2025Review
- Resurfacing promotes antibacterial activity of a lipid A-binding nanobody.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- An intracellular release peptide display technology unveils an antimicrobial peptide with low probability for resistance development.iScience · 2025Article
- Mobilizable shuttle vectors with fluorescent markers functional across different species of bacteria.Applied and environmental microbiology · 2025Article
- Designer artificial environments for membrane protein synthesis.Nature communications · 2025Article
- Understanding, inhibiting, and engineering membrane transporters with high-throughput mutational screens.Cell chemical biology · 2025Review
- A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production.Nature communications · 2025Article
- Late-Stage Reshaping of Phage-Displayed Libraries to Macrocyclic and Bicyclic Landscapes using a Multipurpose Linchpin.Journal of the American Chemical Society · 2025Article
- A review on the screening methods for the discovery of natural antimicrobial peptides.Journal of pharmaceutical analysis · 2025Review
- Antimicrobial Peptides: The Game-Changer in the Epic Battle Against Multidrug-Resistant Bacteria.Pharmaceuticals (Basel, Switzerland) · 2024Review
- ProT-Diff: A Modularized and Efficient Strategy for De Novo Generation of Antimicrobial Peptide Sequences by Integrating Protein Language and Diffusion Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity.Nature biomedical engineering · 2024Article
31 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
8 authors at 2 institutions in 1 country.
Funding
Abstract
Peptides have great potential to combat antibiotic resistance. While many platforms can screen peptides for their ability to bind to target cells, there are virtually no platforms that directly assess the functionality of peptides. This limitation is exacerbated when identifying antimicrobial peptides because the phenotype, death, selects against itself and has caused a scientific bottleneck that confines research to a few naturally occurring classes of antimicrobial peptides. We have used this seeming dissonance to develop Surface Localized Antimicrobial Display (SLAY), a platform that allows screening of unlimited numbers of peptides of any length, composition, and structure in a single tube for antimicrobial activity. Using SLAY, we screened ∼800,000 random peptide sequences for antimicrobial function and identified thousands of active sequences, dramatically increasing the number of known antimicrobial sequences. SLAY hits present with different potential mechanisms of peptide action and access to areas of antimicrobial physicochemical space beyond what nature has evolved. VIDEO ABSTRACT.
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.