ArticleThe Journal of biological chemistry2018
Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria.
Article in The Journal of biological chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 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
78 citing papers in PubMed.
- Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027Review
- Optimization, characterization, and mechanistic evaluation of iturin and surfactin like, broad spectrum antimicrobial lipopeptides from Bacillus subtilis RKEA1 isolated from Acanthus ilicifolius.World journal of microbiology & biotechnology · 2026Article
- Innovative approaches to therapeutic target discovery amid the global challenge of antimicrobial resistance.Journal of computer-aided molecular design · 2026Review
- Antimicrobial peptides in anti-infective and immunomodulatory applications: Mechanisms, challenges, and emerging computational design.Zoological research · 2026Review
- Discovering Plastic-Binding Peptides with Favorable Affinity, Water Solubility, and Binding Specificity Through Deep Learning and Biophysical Modeling.bioRxiv : the preprint server for biology · 2026Article
- From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- A PLUM Job: Peptide modeLs for Understanding and engineering antiMicrobial therapeutics.bioRxiv : the preprint server for biology · 2026Article
- Novel genes arise from genomic deletions across the bacterial tree of life.bioRxiv : the preprint server for biology · 2026Article
- A Novel Type I Crustin Isoform from Scylla olivacea and its Antibacterial Potential: Membrane Depolarization, Disruption, and Induction of Reactive Oxygen Species as Modes of Action.Probiotics and antimicrobial proteins · 2025Article
- A generative artificial intelligence approach for the discovery of antimicrobial peptides against multidrug-resistant bacteria.Nature microbiology · 2025Article
- A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Marine-Derived N-Terminal Mitochondrial-Targeting Sequences Exhibit Antimicrobial and Anticancer Activities.International journal of molecular sciences · 2025Article
- Advancing the Accuracy of Anti-MRSA Peptide Prediction Through Integrating Multi-Source Protein Language Models.Interdisciplinary sciences, computational life sciences · 2025Article
- Discovery of a Novel Antimicrobial Peptide fromAntibiotics (Basel, Switzerland) · 2025Article
- Designing Novel Antimicrobial Agents from the Synthetic Antimicrobial Peptide (Pep-38) to Combat Antibiotic Resistance.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Computational modeling approach to identify potential anti-Campylobacter peptides fromOpen veterinary journal · 2025Review
- BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides forJournal of chemical information and modeling · 2025Article
- Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model.Science advances · 2025Article
- Prediction of inhibitory peptides against E.coli with desired MIC value.Scientific reports · 2025Article
- FDA-Approved Antibacterials and Echinocandins.Antibiotics (Basel, Switzerland) · 2025Review
18 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a pressing need for new therapeutics to combat multidrug- and carbapenem-resistant bacterial pathogens. This challenge prompted us to use a long short-term memory (LSTM) language model to understand the underlying grammar,
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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.