ArticlePloS one2013
LAMP: A Database Linking Antimicrobial Peptides.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
161 citing papers in PubMed, 1 synthesis or guideline pooled it, 348 citations in OpenAlex.
- Deep Generative Models for the Discovery of Antiviral Peptides Targeting Dengue Virus: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- GANs in Peptide Drug Discovery: From De Novo Design to Multi-Property Optimization and Clinical Translation.Probiotics and antimicrobial proteins · 2026Review
- Generative models for antimicrobial peptide design: auto-encoders and beyond.BioData mining · 2026Article
- Smart Antibiofilm Platforms Based on Synthetic Antimicrobial Peptides-Engineered Hydrogels.Polymers · 2026Review
- Identification of antimicrobial peptides from ancient gut microbiomes.Nature communications · 2026Article
- PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction.Journal of cheminformatics · 2026Article
- Antimycobacterial peptides as natural therapeutics for tuberculosis: mechanisms and structural features.Frontiers in antibiotics · 2026Review
- Controllable Generation of Pathogen-Specific Antimicrobial Peptides Through Knowledge-Aware Prompt Diffusion Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer.Briefings in bioinformatics · 2025Article
- Transfer learning on protein language models improves antimicrobial peptide classification.Scientific reports · 2025Article
- Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery.Nature protocols · 2025Review
- Peptide-Based Strategies AgainstPharmaceuticals (Basel, Switzerland) · 2025Review
- Production, Delivery, and Regulatory Aspects for Application of Plant-Based Anti-microbial Peptides: a Comprehensive Review.Probiotics and antimicrobial proteins · 2025Review
- Data-Driven Visualization of the Dynamics of Antimicrobial Peptides in Cell Death.Probiotics and antimicrobial proteins · 2025Review
- Computational Design of Potentially Multifunctional Antimicrobial Peptide Candidates via a Hybrid Generative Model.International journal of molecular sciences · 2025Article
- Peptides in plant-microbe interactions: Functional diversity and pharmacological applications.Cell surface (Amsterdam, Netherlands) · 2025Review
- Multimodal geometric learning for antimicrobial peptide identification by leveraging alphafold2-predicted structures and surface features.Briefings in bioinformatics · 2025Article
- FDA-Approved Antibacterials and Echinocandins.Antibiotics (Basel, Switzerland) · 2025Review
- Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.Nature microbiology · 2025Article
- Effect of Chirality and Amphiphilicity on the Antimicrobial Activity of Tripodal Lysine-Based Peptides.ACS applied bio materials · 2025Article
101 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
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The frequent emergence of drug-resistant bacteria has created an urgent demand for new antimicrobial agents. Traditional methods of novel antibiotic development are almost obsolete. Antimicrobial peptides (AMPs) are now regarded as a potential solution to revive the traditional methods of antibiotic development, although, until now, many AMPs have failed in clinical trials. A comprehensive database of AMPs with information about their antimicrobial activity and cytotoxicity will help promote the process of finding novel AMPs with improved antimicrobial activity and reduced cytotoxicity and eventually accelerate the speed of translating the discovery of new AMPs into clinical or preclinical trials. LAMP, a database linking AMPs, serves as a tool to aid the discovery and design of AMPs as new antimicrobial agents. The current version of LAMP has 5,547 entries, comprising 3,904 natural AMPs and 1,643 synthetic peptides. The database can be queried using either simply keywords or combinatorial conditions searches. Equipped with the detailed antimicrobial activity and cytotoxicity data, the cross-linking and top similar AMPs functions implemented in LAMP will help enhance our current understanding of AMPs and this may speed up the development of new AMPs for medical applications. LAMP is freely available at: http://biotechlab.fudan.edu.cn/database/lamp.
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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.