ArticleNucleic acids research2004
ANTIMIC: a database of antimicrobial sequences.
Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 153 citations in OpenAlex.
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Targeted Modification of the Antimicrobial Peptide DGL13K Reveals a Naturally Optimized Sequence for Topical Applications.Microorganisms · 2025Article
- Effect of Chirality and Amphiphilicity on the Antimicrobial Activity of Tripodal Lysine-Based Peptides.ACS applied bio materials · 2025Article
- AbAMPdb: a database of Acinetobacter baumannii specific antimicrobial peptides.Database : the journal of biological databases and curation · 2024Article
- Chirality and pH Influence the Self-Assembly of Antimicrobial Lipopeptides with Diverse Nanostructures.ACS applied bio materials · 2024Article
- Exploratory data analysis of physicochemical parameters of natural antimicrobial and anticancer peptides: Unraveling the patterns and trends for the rational design of novel peptides.BioImpacts : BI · 2024Article
- Developing anti-microbial peptide database version 1 to provide comprehensive and exhaustive resource of manually curated AMPs.Scientific reports · 2023Article
- Thinking on the Construction of Antimicrobial Peptide Databases: Powerful Tools for the Molecular Design and Screening.International journal of molecular sciences · 2023Review
- A review on antimicrobial peptides databases and the computational tools.Database : the journal of biological databases and curation · 2022Review
- Machine Learning Prediction of Antimicrobial Peptides.Methods in molecular biology (Clifton, N.J.) · 2022Article
- The evolution of the antimicrobial peptide database over 18 years: Milestones and new features.Protein science : a publication of the Protein Society · 2022Review
- ADAPTABLE: a comprehensive web platform of antimicrobial peptides tailored to the user's research.Life science alliance · 2019Article
- Ocins database: a database of bug-busters fromAccess microbiology · 2019Article
- Genetic analysis of signal peptides in amphibian antimicrobial secretions.Journal of genetics · 2018Article
- DRAMP: a comprehensive data repository of antimicrobial peptides.Scientific reports · 2016Article
- APD3: the antimicrobial peptide database as a tool for research and education.Nucleic acids research · 2016Article
- Use of Natural Antimicrobial Peptides and Bacterial Biopolymers for Cultured Pearl Production.Marine drugs · 2015Article
- Distinct profiling of antimicrobial peptide families.Bioinformatics (Oxford, England) · 2015Article
- Article
- Improved methods for classification, prediction, and design of antimicrobial peptides.Methods in molecular biology (Clifton, N.J.) · 2015Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial peptides (AMPs) are important components of the innate immune system of many species. These peptides are found in eukaryotes, including mammals, amphibians, insects and plants, as well as in prokaryotes. Other than having pathogen-lytic properties, these peptides have other activities like antitumor activity, mitogen activity, or they may act as signaling molecules. Their short length, fast and efficient action against microbes and low toxicity to mammals have made them potential candidates as peptide drugs. In many cases they are effective against pathogens that are resistant to conventional antibiotics. They can serve as natural templates for the design of novel antimicrobial drugs. Although there are vast amounts of data on natural AMPs, they are not available through one central resource. We have developed a comprehensive database (ANTIMIC, http://research.i2r. a-star.edu.sg/Templar/DB/ANTIMIC/) of known and putative AMPs, which contains approximately 1700 of these peptides. The database is integrated with tools to facilitate efficient extraction of data and their analysis at molecular level, as well as search for new AMPs. These tools include BLAST, PDB structure viewer and the Antimic profile module.
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.