ArticlePloS one2011
Connecting peptide physicochemical and antimicrobial properties by a rational prediction model.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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Who cites it
97 citing papers in PubMed.
- Membrane vesicles associated antimicrobial peptides from PGPRPlant signaling & behavior · 2026Article
- Membrane-Targeted Consequences of Acetaminophen Toxicity and Off-Target Effects of Antimicrobial Peptides on Host Cell Membranes.International journal of molecular sciences · 2026Review
- MAPLE: interpretable deep learning identifies selective antimicrobial peptides using joint evolutionary-physicochemical analysis.Briefings in bioinformatics · 2026Article
- Plant-associated fungi co-opt ancient antimicrobials for host manipulation.Science advances · 2026Article
- Proteostasis-targeted antibacterial strategies.Journal of microbiology (Seoul, Korea) · 2026Review
- Antimycobacterial peptides as natural therapeutics for tuberculosis: mechanisms and structural features.Frontiers in antibiotics · 2026Review
- Peptide-based antimicrobial effect against carbapenem-resistantFrontiers in pharmacology · 2026Article
- Leveraging Different Distance Functions to Predict Antiviral Peptides with Geometric Deep Learning from ESMFold-Predicted Tertiary Structures.Antibiotics (Basel, Switzerland) · 2026Article
- Unveiling the dual role ofPlant signaling & behavior · 2025Article
- Screening and Validation of Functional Residues of the Antimicrobial PeptideBiomolecules · 2025Article
- Bioactive peptides fromFood chemistry: X · 2025Article
- Peptide-Based Strategies AgainstPharmaceuticals (Basel, Switzerland) · 2025Review
- Exploring the Antimicrobial and Antiviral Properties of Cryptic Peptides from Human Fibrinogen.International journal of molecular sciences · 2025Article
- Improving the antimicrobial activity of RP9 peptide through theoretical and experimental investigation.Biochemistry and biophysics reports · 2025Article
- Data-driven discovery of antiviral peptides against PRRSV using multiple machine learning models.Frontiers in veterinary science · 2025Article
- AI Methods for Antimicrobial Peptides: Progress and Challenges.Microbial biotechnology · 2025Review
- Deciphering optimal molecular determinants of non-hemolytic, cell-penetrating antimicrobial peptides through bioinformatics and Random Forest.Briefings in bioinformatics · 2024Article
- Structure-aware machine learning strategies for antimicrobial peptide discovery.Scientific reports · 2024Article
- Innate immunity inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Novel technologies uncover novel 'anti'-microbial peptides inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing rate in antibiotic-resistant bacterial strains has become an imperative health issue. Thus, pharmaceutical industries have focussed their efforts to find new potent, non-toxic compounds to treat bacterial infections. Antimicrobial peptides (AMPs) are promising candidates in the fight against antibiotic-resistant pathogens due to their low toxicity, broad range of activity and unspecific mechanism of action. In this context, bioinformatics' strategies can inspire the design of new peptide leads with enhanced activity. Here, we describe an artificial neural network approach, based on the AMP's physicochemical characteristics, that is able not only to identify active peptides but also to assess its antimicrobial potency. The physicochemical properties considered are directly derived from the peptide sequence and comprise a complete set of parameters that accurately describe AMPs. Most interesting, the results obtained dovetail with a model for the AMP's mechanism of action that takes into account new concepts such as peptide aggregation. Moreover, this classification system displays high accuracy and is well correlated with the experimentally reported data. All together, these results suggest that the physicochemical properties of AMPs determine its action. In addition, we conclude that sequence derived parameters are enough to characterize antimicrobial peptides.
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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.