Antimicrobial Peptides and Activities

Mechanism-driven screening of membrane-targeting and pore-forming antimicrobial peptides

This study screens antimicrobial peptides using a mechanism-driven approach, identifying seven peptides with membrane-targeting and pore-forming activity that show antimicrobial efficacy with low cytotoxicity.

Exploiting Peptide Chirality and Transport to Dissect the Complex Mechanism of Action of Host Peptides on Bacteria

This study uses stereochemistry and genetics to distinguish the mechanisms of action of NCR247 on bacterial cells, revealing distinct effects in the periplasm and cytoplasm.

Molecular response to the non-lytic peptide bac7 (1-35) triggers disruption of Klebsiella pneumoniae biofilm

This paper investigates the anti-biofilm mechanism of bac7 (1-35) against Klebsiella pneumoniae, showing it disrupts bacterial membranes and ribosomal function, leading to biofilm collapse and reduced dissemination.

ClsDiff-AMP30: Generating Antimicrobial Peptides by a Classifier Guidance Noise Predictor

ClsDiff-AMP30 generates short antimicrobial peptides with high antimicrobial activity and low toxicity through a classifier-guided diffusion model.

The last resort antibiotic daptomycin exhibits two independent antibacterial mechanisms of action

This study identifies two independent mechanisms by which daptomycin exerts its antibacterial effects: cell wall synthesis inhibition and membrane depolarisation.

XAMP: debiased dual-engine AI framework enables global discovery of antimicrobial peptides from deep-sea microbiomes

XAMP improves antimicrobial peptide discovery by addressing data biases, identifying 2,355 candidates from deep-sea metagenomes, and validating six peptides with broad-spectrum activity against drug-resistant pathogens.

Mechanistic insights into Enterocin C targeting the undecaprenyl phosphate recycling protein BacA

This study identifies Enterocin C's mechanism of action by targeting BacA, revealing cooperative peptide interactions leading to cell death and suggesting potential for bioengineering antimicrobials.

Accelerating antibiotic discovery from Earth's isolated habitats through protein language models and microfluidics

The paper develops MicroSPEAR, a framework combining a protein language model and microfluidics to discover and validate antimicrobial peptides from isolated habitats.

Tagging fluorescent reporter to epinecidin-1 antimicrobial peptide

This study clones fluorescent proteins with an antimicrobial peptide to enable real-time visualization of its mechanism of action.

Altitudin S from Bacillus altitudinis ECC22 defines a new subgroup of circular bacteriocins

The paper identifies altitudin S, a novel circular bacteriocin from Bacillus altitudinis ECC22, characterized by unique sequence, structural, and physicochemical properties.

LL-37 and citrullinated-LL-37 enhance disparate oxylipins: LL-37-mediated chemokine response is dependent on COX-2 and the P2X7 receptor in human bronchial epithelial cells

This study shows LL-37 enhances pro-inflammatory oxylipins and chemokines via COX-2 and P2X7 receptor, while citrullinated LL-37 reduces these effects.

Membrane Tethering of Honeybee Antimicrobial Peptides in Drosophila Enhances Pathogen Defense at the Cost of Stress-Induced Host Vulnerability

This study shows that membrane-tethering of honeybee defensin1 in Drosophila boosts antimicrobial efficacy but increases host vulnerability under stress.

Hoisted by Their Own Petard: Defeating Immunity Protein-Mediated Bacteriocin Resistance

This study shows that modifying the immunity protein of Pyocin S2 can overcome resistance in Pseudomonas aeruginosa, enabling broader antimicrobial applications.

Proteolytically activated antibacterial toxins inhibit the growth of diverse Gram-positive bacteria

This study identifies a family of antibacterial proteins from Gram-positive bacteria that kill a broad range of bacteria through receptor-independent entry and degradation of essential cellular components.

Targeted Modification of the Antimicrobial Peptide DGL13K Reveals a Naturally Optimized Sequence for Topical Applications.

This study evaluates modifications to the antimicrobial peptide DGL13K to improve its therapeutic properties, finding that the native sequence is already highly optimized.

Structural Insights into Cir-mediated Killing by the Antimicrobial Protein Microcin V

The paper reports the first high-resolution structure of the Cir/MccV complex and identifies key residues critical for MccV binding and bacteriolysis.

C-Terminal Amidation: Structural Insights into Enhanced Antimicrobial Peptide Efficacy and Amyloidogenesis

This study shows that C-terminal amidation enhances antimicrobial peptide efficacy by stabilizing structures and promoting membrane interactions in U3.5.

EGFR-targeted and MMP-activated membranolytic peptides derived from Polybia paulista MP1 kill cancer cells specifically in vitro and reduce tumour growth in vivo

This study modifies the membranolytic peptide MP1 with EGFR-binding and MMP-2 cleavage sequences to target cancer cells, showing reduced toxicity and tumor growth in vivo.

Cyclic lipopeptide natural products as taxa-specific antibacterial inhibitors of the lipid II flippase

The paper investigates imacidin, a cyclic lipopeptide that inhibits the lipid II flippase MurJ, identifying it as a taxa-specific antibacterial agent with potential for precision antibiotics.

Revealing pH-dependence and independence of the characteristics of a β sheet-forming antimicrobial peptide

This study uses CpHMD simulations to analyze pH-dependent conformational changes in the GL13K antimicrobial peptide, revealing pKa variations and structural dynamics influenced by lysine deprotonation.

Application of machine learning in the discovery of antimicrobial peptides: Exploring their potential for ulcerative colitis therapy

This study uses machine learning to predict antimicrobial peptides (AMPs) for ulcerative colitis therapy, showing improved disease parameters in a mouse model.

Plasmodium killing and antimicrobial lineal or cyclic-peptides computationally targeted the circumsporozoite CSP protein

The paper computationally identifies cyclic peptides targeting Plasmodium falciparum's circumsporozoite protein with high affinity and stability, suggesting potential for antimalarial development.

Full title Capsule and PspA Cooperatively Confer Resistance of Streptococcus pneumoniae to the Human defensin HNP-1

This study shows that PspA and the polysaccharide capsule work together to protect Streptococcus pneumoniae from the antimicrobial peptide HNP-1.

A deep reinforcement learning platform for antibiotic discovery

This paper introduces a deep reinforcement learning framework for designing new antibiotics, producing potent peptides with broad-spectrum activity against bacteria.

Dynamic exchange of antimicrobial peptides stabilize persistent lipid pores

This study uses single-molecule tracking and simulations to show that antimicrobial peptides form dynamic, persistent pores in membranes, with peptides freely diffusing into and out of the pore structure.

Determinants of membrane sensitivity to the peptide MP-1 (Polybia paulista)

The paper identifies MP-1 peptide mutants with enhanced selectivity for cancer-like membranes and breast cancer cells, revealing structure-activity relationships through model membranes and cell assays.

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides for use against avian pathogenic Escherichia coli in the poultry industry

This study evaluates three AI-identified antimicrobial peptides for efficacy and safety against avian pathogenic Escherichia coli in poultry, showing improved survival and immune modulation without adverse effects.

Painting Peptides with Antimicrobial Potency through Deep Reinforcement Learning

This paper introduces AMPainter, a deep reinforcement learning model for designing antimicrobial peptides, which outperforms existing models and generates effective AMPs from signal peptides and random sequences.

Systematically investigating and identifying bacteriocins in the human gut microbiome

The paper introduces IIBacFinder to identify unmodified class II bacteriocins in the human gut microbiome, showing their widespread distribution and biosynthetic potential.

Generative latent diffusion language modeling yields anti-infective synthetic peptides

This study introduces AMP-Diffusion, a generative model for designing antimicrobial peptides, which produces candidates with broad-spectrum antibacterial activity and low toxicity.