ArticleAntimicrobial agents and chemotherapy2014
Novel method to identify the optimal antimicrobial peptide in a combination matrix, using anoplin as an example.
Article in Antimicrobial agents and chemotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Synergistic Action of Antimicrobial Peptides and Antibiotics.International journal of molecular sciences · 2026Review
- The Recombinant Production of Novel Bovine Lactoferricin Engineered Peptide Using Molecular Dynamics Simulation.Archives of Razi Institute · 2025Article
- Staphylococcus hominis as a source of antimicrobial peptides: identification of a new peptide with potential antimicrobial properties using in silico approach.Archives of microbiology · 2025Article
- Membrane Activity of Melittin and Magainin-I at Low Peptide-to-Lipid Ratio: Different Types of Pores and Translocation Mechanisms.Biomolecules · 2024Article
- Review: Structure-Activity Relationship of Antimicrobial Peptoids.Pharmaceutics · 2023Review
- Synergy by Perturbing the Gram-Negative Outer Membrane: Opening the Door for Gram-Positive Specific Antibiotics.ACS infectious diseases · 2022Review
- Traditional and Computational Screening of Non-Toxic Peptides and Approaches to Improving Selectivity.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Tuning the Activity of Anoplin by Dendrimerization of Lysine and Lipidation of the N-Terminal.ACS omega · 2021Article
- The Spectrum of Design Solutions for Improving the Activity-Selectivity Product of Peptide Antibiotics against Multidrug-Resistant Bacteria and Prostate Cancer PC-3 Cells.Molecules (Basel, Switzerland) · 2020Article
- Hydrogen bonds in anoplin peptides aid in identification of a structurally stable therapeutic drug scaffold.Journal of molecular modeling · 2020Article
- Advances in the Study of Structural Modification and Biological Activities of Anoplin.Frontiers in chemistry · 2020Review
- Review
- Characterization, mechanism of action and optimization of activity of a novel peptide-peptoid hybrid against bacterial pathogens involved in canine skin infections.Scientific reports · 2019Article
- Hydrophobic interactions modulate antimicrobial peptoid selectivity towards anionic lipid membranes.Biochimica et biophysica acta. Biomembranes · 2018Article
- GL-9 peptide regulates gene expression of CD44 cancer marker and pro-inflammatory cytokine TNF-α in human lung epithelial adenocarcinoma cell line (A549).Molecular and cellular biochemistry · 2016Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial resistance is an increasing health concern and a true danger to human well-being. A worldwide search for new compounds is ongoing, and antimicrobial peptides are promising lead candidates for tomorrow's antibiotics. The decapeptide anoplin (GLLKRIKTLL-NH2) is an especially interesting candidate because of its small size as well as its antimicrobial and nonhemolytic properties. Optimization of the properties of an antimicrobial peptide such as anoplin requires multidimensional searching in a complex chemical space. Typically, such optimization is performed by labor-intensive and costly trial-and-error methods. In this study, we show the benefit of fractional factorial design for identification of the optimal antimicrobial peptide in a combination matrix. We synthesized and analyzed a training set of 12 anoplin analogs, representative of 64 analogs in total. Using MIC, hemolysis, and high-performance liquid chromatography retention time data, we constructed analysis-of-variance models that describe the relationship between these properties and the structural characteristics of the analogs. We show that the mathematical models derived from the training set data can be used to predict the properties of other analogs in the chemical space. Hence, this method provides an efficient means of identification of the optimal peptide in the searched chemical space.
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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.