ReviewFrontiers in microbiology2019
Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?
Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 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
110 citing papers in PubMed, 1 synthesis or guideline pooled it, 216 citations in OpenAlex.
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- A hepcidin homolog fromVirulence · 2026Article
- Animal-Derived Antimicrobial Peptides: Emerging Therapeutic Strategies against Multidrug-Resistant Pathogens.Probiotics and antimicrobial proteins · 2026Review
- Engineering host‑defense peptides enhanced by artificial intelligence and nano delivery systems to overcome biofilms and antimicrobial resistance.Engineering microbiology · 2026Review
- Computer-Aided Design ofACS medicinal chemistry letters · 2026Article
- Peptides as multifunctional linchpins in targeted drug conjugates.RSC medicinal chemistry · 2026Review
- Review
- D-amino acid substitution and cyclization enhance the stability and antimicrobial activity of arginine-rich peptides.Microbiology (Reading, England) · 2026Article
- Harnessing apidaecin capability to improve intestinal health and inhibit Salmonella Typhimurium transmission in laying hens.Journal of animal science · 2026Article
- The Dual Role of Natural Peptides in Cancer Therapy: Anticancer and Immunomodulatory Perspectives.Oncology research · 2026Review
- The antimicrobial peptide EM86 loaded to gamma-irradiated sodium alginate/polyvinyl alcohol electrospun nanofibrous dressing treated multidrug-resistantFrontiers in bioengineering and biotechnology · 2026Article
- Antimicrobial peptides in the era of resistance: integrating AI-driven design, host-microbe interactions, and nanotechnological delivery.Frontiers in microbiology · 2026Review
- Natural Anti-Biofilm Agents: A Comprehensive Review and Future Perspectives.Current microbiology · 2025Review
- Antibiotic Resistance Crisis: From Bacterial Bioprospecting to Artificial Intelligence.Environmental microbiology reports · 2025Review
- A Comprehensive Overview of Antimicrobial Peptides: Broad-Spectrum Activity, Computational Approaches, and Applications.Antibiotics (Basel, Switzerland) · 2025Review
- Antimicrobial peptides: structure, functions and translational applications.Nature reviews. Microbiology · 2025Review
- Rational designing and synthesizing an antimicrobial peptide from bovine milk casein and evaluating its biological properties.Amino acids · 2025Article
- Article
- Evaluation of the Antitumor and Antiproliferative Potential of Synthetic Peptides Derived from IsCT1, Associated with Cisplatin, in Squamous Cell Carcinoma of the Oral Cavity.Molecules (Basel, Switzerland) · 2025Article
- Molecular Modelling in Bioactive Peptide Discovery and Characterisation.Biomolecules · 2025Review
50 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
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial peptides (AMPs), especially antibacterial peptides, have been widely investigated as potential alternatives to antibiotic-based therapies. Indeed, naturally occurring and synthetic AMPs have shown promising results against a series of clinically relevant bacteria. Even so, this class of antimicrobials has continuously failed clinical trials at some point, highlighting the importance of AMP optimization. In this context, the computer-aided design of AMPs has put together crucial information on chemical parameters and bioactivities in AMP sequences, thus providing modes of prediction to evaluate the antibacterial potential of a candidate sequence before synthesis. Quantitative structure-activity relationship (QSAR) computational models, for instance, have greatly contributed to AMP sequence optimization aimed at improved biological activities. In addition to machine-learning methods, the
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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.