Aug 2026· Probiotics and Antimicrobial Proteins· 0 citations· 63 references
Medicine
TL;DR
A stability-centric computational discovery pipeline to identify and characterize novel antimicrobial peptides with potent and selective bactericidal activity against ESKAPE pathogens and to validate the lead candidates through experimental in vitro assays provided a generally applicable strategy for accelerating the discovery of peptide-based therapeutics.
Abstract
Antimicrobial resistance (AMR), driven largely by ESKAPE(E) pathogens, represents a critical global health challenge. The increasing prevalence of multidrug-resistant (MDR) bacteria and the declining effectiveness of conventional antibiotics have created an urgent need for innovative therapeutic agents with novel mechanisms of action. In this study, we aimed to establish a stability-centric computational discovery pipeline to identify and characterize novel antimicrobial peptides (AMPs) with potent and selective bactericidal activity against ESKAPE pathogens, and to validate the lead candidates through experimental in vitro assays. A library of approximately 3,000 AMPs was retrieved from public databases and subjected to in silico screening for physicochemical properties and predicted toxicity. Following filtration, 200 peptides were selected as ligands for molecular docking against essential target proteins from ESKAPE pathogens. Based on docking scores, binding pocket occupancy, and ligand-protein interaction, the top 10 peptides against each bacterium were shortlisted. The four top consensus hits of Vespid Chemotactic Peptide VT1 (VCP-VT1), Taromycin A, CN-AMP1, and Alliumin were selected based on their superior inhibitory profiles. Subsequent peptide-protein docking analyses confirmed their binding modes and interaction patterns. These four candidates were advanced to peptide-protein interaction profiling, followed by pilot in vitro minimum bactericidal concentration (MBC) determination and cytotoxicity assessment on a mammalian cell line. Hierarchical consensus scoring identified VCP-VT1, Taromycin A, CN-AMP1, and Alliumin as the top-ranked binding AMPs. VCP-VT1 was the most potent peptide in preliminary MBC assays, with modest activity against Gram-positive Enterococcus faecalis, Enterococcus faecium and Staphylococcus aureus, and Gram-negative Acinetobacter baumannii and Pseudomonas aeruginosa (MBC50 of 50 µM, MBC > 90 of 100 µM). All peptides showed minimal cytotoxicity against a cultured human cell line and non-toxic ADMET parameters in silico. This reductionist validation of a stability-pre-filtered computational shortlist substantiated VCP-VT1 as a priority bactericidal lead AMP. Its favourable preliminary efficacy and safety margins would warrant further pharmacokinetic optimization and eventual in vivo efficacy studies against recalcitrant multidrug-resistant (MDR) pathogens. This integrated computational-experimental framework provided a generally applicable strategy for accelerating the discovery of peptide-based therapeutics to combat the growing threat of AMR.
2ANN is identified as a promising AMP candidate for further investigation against MDR P. aeruginosa, as the findings are based exclusively on computational prediction and simulation, experimental validation is required to confirm its biological activity and mechanism of action.
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