ArticleBioinformatics (Oxford, England)2018
Deep learning improves antimicrobial peptide recognition.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 282 papers, 1 of them a synthesis that pooled it.
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Who cites it
282 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High Throughput Meta-analysis of Antimicrobial Peptides for Characterizing Class Specific Therapeutic Candidates: An In Silico Approach.Probiotics and antimicrobial proteins · 2025Pooled it
- Article
- Dynamic Fourier wavelet positional encoding for anticancer peptide prediction via transfer learning.iScience · 2026Article
- Harnessing snake venom cardiotoxins for antimicrobial peptide discovery.npj drug discovery · 2026Article
- Towards Safer Antimicrobial Peptide Therapeutics: A Predictive-Generative Framework Targeting ESKAPE Pathogens.Probiotics and antimicrobial proteins · 2026Article
- Marine Antimicrobial Peptides: From Ocean Biodiversity to Genome Mining, Multi-Omics Discovery, and Biotechnological Innovation in the Battle Against Antimicrobial Resistance.Probiotics and antimicrobial proteins · 2026Review
- A unified framework for potency-oriented AMP discovery via multi-modal learning and guided sequence synthesis.PLoS computational biology · 2026Article
- Molecular and Functional Characterization of Black Soldier Fly Derived Peptide Against Food-Relevant Bacteria.Foods (Basel, Switzerland) · 2026Article
- Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction.BMC biology · 2026Article
- Pepholin, a bacteriophage holin-derived antimicrobial peptide with membrane-disruptive activity and therapeutic efficacy in MDRRSC advances · 2026Article
- An Interpretable Multi-Objective Machine Learning Framework for In Silico Prioritization of Anti-Diagnostics (Basel, Switzerland) · 2026Article
- Article
- Integrated Genome Mining, Bacterial Co-Culture Activation, and Peptidomic Analyses Identify Antimicrobial Peptide Candidates from South American Bacteria.Antibiotics (Basel, Switzerland) · 2026Article
- Dual Effects of a Bothrops asper Phospholipase A₂: Anti-Vibrio Properties and Shrimp Hemocyte Cytotoxicity.Probiotics and antimicrobial proteins · 2026Article
- Article
- From Innate Immunity to Cancer Therapy: Antimicrobial Peptides as Emerging Anticancer Agents.International journal of molecular sciences · 2026Review
- Dual Activity Microbial Peptides Catalog.Scientific data · 2026Article
- Probiotic Characterization of a Novel Enterococcus faecium CPU2401 from Pickles: Unraveling Genomic Mechanisms Underlying the Combating of Oxidative Stress and Infection.Probiotics and antimicrobial proteins · 2026Article
- Fung-AI: An AI/ML-driven pipeline for antifungal peptide discovery.PLoS computational biology · 2026Article
- A Localization-Based Motif Combination Approach To the Design of Antimicrobial Peptides Targeting Gram-Positive and Gram-Negative Bacteria.Probiotics and antimicrobial proteins · 2026Article
222 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivation: Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides (AMPs), natural components of innate immunity, are popular targets for developing new drugs. Machine learning methods are now commonly adopted by wet-laboratory researchers to screen for promising candidates. Results: In this work, we utilize deep learning to recognize antimicrobial activity. We propose a neural network model with convolutional and recurrent layers that leverage primary sequence composition. Results show that the proposed model outperforms state-of-the-art classification models on a comprehensive dataset. By utilizing the embedding weights, we also present a reduced-alphabet representation and show that reasonable AMP recognition can be maintained using nine amino acid types. Availability and implementation: Models and datasets are made freely available through the Antimicrobial Peptide Scanner vr.2 web server at www.ampscanner.com. Supplementary information: Supplementary data are available at Bioinformatics online.
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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.