ReviewInfection and immunity2021
Molecular Dynamics for Antimicrobial Peptide Discovery.
Review in Infection and immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pneumolysin as a target for new therapies against pneumococcal infections: A systematic review.PloS one · 2023Pooled it
- Design of a cyclic peptide targeting intracellular Staphylococcus aureus.Molecular biomedicine · 2026Article
- Guidelines for Comparing Circular Dichroism Spectroscopy and Molecular Dynamics Simulations for Biomolecules.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026Article
- Expanding the paradigm of glycopeptide antibiotic recognition through molecular dynamics simulations.Communications chemistry · 2026Article
- Redefining Therapies for Drug-Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design.Advanced healthcare materials · 2026Review
- Artificial Intelligence-Driven Discovery and Optimization of Antimicrobial Peptides Targeting ESKAPE Pathogens and Multidrug-Resistant Fungi.Microorganisms · 2026Review
- From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Recombinant Expression and Antimicrobial Mechanism of Cysteine-Rich Antimicrobial Peptides fromMarine drugs · 2026Article
- Molecular Dynamics Simulations and Current Trends in Designing New Antivirals Targeting Proteases: A Review from 2018 to 2025.Current drug targets · 2026Review
- The Recombinant Production of Novel Bovine Lactoferricin Engineered Peptide Using Molecular Dynamics Simulation.Archives of Razi Institute · 2025Article
- Novel Anti-MRSA Peptide from Mangrove-DerivedMarine drugs · 2025Article
- Molecular Modelling in Bioactive Peptide Discovery and Characterisation.Biomolecules · 2025Review
- Prediction of SafD adhesin strong binding peptides for pilus proteins assembly suppression in the prevention ofIn silico pharmacology · 2025Article
- Unlocking the specificity of antimicrobial peptide interactions for membrane-targeted therapies.Computational and structural biotechnology journal · 2024Article
- Biopreservation strategies using bacteriocins to control meat spoilage and foodborne outbreaks.Italian journal of food safety · 2024Review
- Machine learning for antimicrobial peptide identification and design.Nature reviews bioengineering · 2024Article
- Vesicle protrusion induced by antimicrobial peptides suggests common carpet mechanism for short antimicrobial peptides.Scientific reports · 2024Article
- Molecular guidelines for promising antimicrobial agents.Scientific reports · 2024Article
- Leveraging artificial intelligence in the fight against infectious diseases.Science (New York, N.Y.) · 2023Review
- Bacterial resistance to antibacterial agents: Mechanisms, control strategies, and implications for global health.The Science of the total environment · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Although antimicrobial resistance is an increasingly significant public health concern, there have only been two new classes of antibiotics approved for human use since the 1960s. Understanding the mechanisms of action of antibiotics is critical for novel antibiotic discovery, but novel approaches are needed that do not exclusively rely on experiments. Molecular dynamics simulation is a computational tool that uses simple models of the atoms in a system to discover nanoscale insights into the dynamic relationship between mechanism and biological function. Such insights can lay the framework for elucidating the mechanism of action and optimizing antibiotic templates. Antimicrobial peptides represent a promising solution to escalating antimicrobial resistance, given their lesser tendency to induce resistance than that of small-molecule antibiotics. Simulations of these agents have already revealed how they interact with bacterial membranes and the underlying physiochemical features directing their structure and function. In this minireview, we discuss how traditional molecular dynamics simulation works and its role and potential for the development of new antibiotic candidates with an emphasis on antimicrobial peptides.
Indexed as
Identifiers
What Socratic 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 Socratic graph.