Antimicrobial Peptides and Activities

Targeting intracellular of populations Pseudomonas aeruginosa with peptide-mimetic therapies: individual efficacy and synergistic rescue of obsolete antibiotics.

The paper develops a peptide-based therapy that targets intracellular Pseudomonas aeruginosa and synergizes with obsolete antibiotics to reduce bacterial reservoirs.

A coral peptide has bactericidal activity against a global marine pathogen, Vibrio coralliilyticus

This paper identifies digitiferin, an antimicrobial peptide from coral Acropora digitifera, which exhibits bactericidal activity against Vibrio coralliilyticus under low-salt conditions.

Discovery of antibiotics in the archaeome using deep learning

This study uses deep learning to analyze archaeal proteomes, identifying 12,623 potential antimicrobial molecules, with 93% showing in vitro activity and one candidate effective in vivo against bacterial infections.

A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design

This paper introduces MPOGAN, a generative adversarial network for designing antimicrobial peptides with multiple desired properties, showing improved performance in antimicrobial activity and reduced cytotoxicity.

A novel broad-spectrum antibiotic targets multiple-drug-resistant bacteria with dual binding targets and no detectable resistance

This paper discovers a novel antibiotic, paenimycin, that targets multiple-drug-resistant bacteria through a dual-binding mechanism and shows no detectable resistance.

Antimicrobial peptides (AMPs) of lizards: a first comprehensive characterization of beta-defensins, ovo-defensins and cathelicidins from the Balearic lizard Podarcis lilfordi and closely related Lacertidae species

The paper characterizes antimicrobial peptides in lizards, identifying and comparing AMPs across species to understand their evolution and diversity.

Psoriasin inhibits microbial growth in food by metal sequestering

This study investigates psoriasin as a natural food preservative, showing its antimicrobial activity and potential for cost-effective production.

De novo design of functionally diverse and druggable antimicrobial peptides by diffusion and multimodal deep learning

This paper introduces AMP-D3, a framework for designing diverse and druggable antimicrobial peptides using diffusion and multimodal deep learning, achieving high accuracy in prediction and validation.

Venomics AI: a computational exploration of global venoms for antibiotic discovery

This study identifies 53 potent antimicrobial venom-derived peptides using computational methods and experimental validation, showing promise for combating antibiotic-resistant infections.

Synergistic Antimicrobial Activity of Epinecidin-1 and Its Variants with Antibiotics Against Nosocomial Pathogens: Implications for In Vivo Wound Healing

This study evaluates the antimicrobial and wound healing properties of epinecidin-1 and its variants, showing synergistic effects with antibiotics against nosocomial pathogens.

AI-Guided Discovery and Optimization of Antimicrobial Peptides Through Species-Aware Language Model

This paper introduces LLAMP, an AI model that predicts antimicrobial peptide activity against specific species, identifying key amino acid residues for antibiotic development.

12-Hydroxystearic acid induces epidermal keratinocytes to secrete antimicrobial peptides that are potent inhibitors of viral infection.

This study identifies 12-hydroxystearic acid as a stimulator of antimicrobial peptide secretion from keratinocytes, enhancing skin immunity against pathogens.

An antibiotic-free antimicrobial combination of bacteriocins and a peptidoglycan hydrolase: in vitro and in vivo assessment of its efficacy

This study evaluates an antibiotic-free antimicrobial combination of bacteriocins and a peptidoglycan hydrolase for treating bovine mastitis, showing effectiveness against mastitis-causing bacteria in vitro and in vivo.

D-amino acid substitution and cyclisation enhance the stability and antimicrobial activity of arginine-rich peptides

The paper optimizes arginine-rich peptides by introducing D-amino acids and cyclization, enhancing their stability and antimicrobial activity while maintaining cytocompatibility.

Dermaseptin DMS-DA6, a promising alternative to conventional antibiotic in the treatment of N. brasiliensis induced actinomycetoma

This study compares the efficacy of the host defense peptide DMS-DA6 with the antibiotic linezolid in treating N. brasiliensis-induced actinomycetoma in mice, finding DMS-DA6 more effective at lower doses and fewer injections.

Influence of F Repeats and Terminal Residue Polarity on Peptide-VIM-2 Metallo-β-Lactamase Interactions

The paper investigates how phenylalanine and lysine repeats affect peptide binding to VIM-2 metallo-beta-lactamase, finding that F repeats stabilize complexes and enhance binding when balanced with K residues.

Chemokines Kill Bacteria by Binding Anionic Phospholipids without Triggering Antimicrobial Resistance

Investigating the antimicrobial and immunomodulatory effects of honeybee venom peptide apamin in the Drosophila genetic platform.

This study shows apamin, a honeybee venom peptide, has antimicrobial effects in Drosophila by targeting harmful bacteria and promoting beneficial ones, improving gut health and barrier integrity.

Isolation of Cyclotide Gene from Solanaceae Family and Its Bioinformatics Analysis

The paper isolates and analyzes cyclotide genes from Solanaceae plants, showing high sequence identity with reference sequences and providing insights for future cyclotide research.

Impact of Peptide Initial Configuration and Membrane Composition on Melittin's Pore-Forming Ability under Unbiased All-Atom Molecular Dynamics Simulations

This study uses molecular dynamics simulations to show that melittin's pore-forming ability depends on initial configuration and membrane composition, with lysine-7 playing a key role in pore formation.

Defining the importance of the arginine loop region of protegrin-1 for antimicrobial activity towards colistin-resistant Klebsiella pneumoniae.

The paper investigates how mutations in protegrin-1 affect its antimicrobial activity against colistin-resistant Klebsiella pneumoniae, finding structural changes have a greater impact than charge reduction.

Unveiling the Evolution of Antimicrobial Peptides in Gut Microbes via Foundation Model-Powered Framework

This paper introduces AMP-SEMiner, an AI framework for discovering antimicrobial peptides from metagenomes, identifying over 1.6 million candidates and validating their antimicrobial activity.

LL-37 modulates IL-17A/F-mediated airway inflammation by selectively suppressing Lipocalin-2.

This study shows LL-37 and its citrullinated form suppress IL-17A/F-induced LCN-2 production in bronchial epithelial cells, reducing neutrophil migration and airway inflammation.

Decoupling membrane permeabilization and antimicrobial activity in amphipathic peptides

This study shows that helicity and membrane permeabilization are not universal requirements for cathelicidin-mediated killing of gram-negative bacteria, and identifies lead compounds with improved selectivity.

A portable N-terminal biphenyl motif in LL-37 enhances the activity of short human cathelicidin derivatives

The paper demonstrates that adding an N-terminal biphenyl motif from LL-37 to short cathelicidin peptides significantly enhances their antibacterial activity against gram-negative bacteria.

Separability of antibacterial and membranolytic activity in the human host defense peptide LL-37

The paper identifies LL-37 variants that kill gram-negative bacteria without membrane disruption and bacteria that are permeabilized without being killed, suggesting alternative mechanisms of antibacterial activity.

Novel action of proline-rich antimicrobial peptides Api88, Api137, Onc72 and Onc112 against Pseudomonas aeruginosa and Escherichia coli in ion-rich environments.

This study examines how metal ion environments affect the antimicrobial activity of PrAMPs against Pseudomonas aeruginosa and Escherichia coli, revealing ion-dependent changes in their mode of action.

Mechanistic Insights into Human Cathelicidin LL-37-Induced Activation of a Broadly Conserved Bacterial Signaling System

This study shows human antimicrobial peptides like LL-37 activate bacterial PhoQ-PhoP signaling independently of their bactericidal effects, revealing a new mechanism of bacterial response to host peptides.

PepSeek: Universal Functional Peptide Discovery with Cooperation Between Specialized Deep Learning Models and Large Language Model

PepSeek identifies functional peptides using a combination of large language models and specialized models, achieving high accuracy in antimicrobial peptide discovery.

Modes of action and bio-fungicide potential of peptides derived from the bi-domain plant defensin MtDef5

This study identifies antifungal peptides from MtDef5 and shows their potential as bio-fungicides against gray mold and anthracnose diseases.