The escalating prevalence of antibiotic-resistant bacteria poses an immediate and grave threat to public health. Antimicrobial peptides (AMPs) have gained significant attention as a promising alternative to conventional antibiotics. Animal venom comprises a diverse array of bioactive compounds, which can be a rich source for identifying new functional peptides. In this study, we identified a toxin peptide, Lycotoxin-Pa1a (Lytx-Pa1a), from the transcriptome of the Pardosa astrigera spider venom gland. To enhance its functional properties, we employed an in silico approach to design a novel hybrid peptide, KFH-Pa1a, by predicting antibacterial and cytotoxic functionalities and incorporating the amino-terminal Cu(II)- and Ni(II) (ATCUN)-binding motif. KFH-Pa1a demonstrated markedly superior antimicrobial efficacy against pathogens, including multidrug-resistant (MDR) Pseudomonas aeruginosa, compared to Lytx-Pa1a. Notably, KFH-Pa1a exerted several distinct mechanisms, including the disruption of the bacterial cytoplasmic membrane, the generation of intracellular ROS, and the cleavage and inhibition of bacterial DNA. Additionally, the hybrid peptide showed synergistic activity when combined with conventional antibiotics. Our research not only identified a novel toxin peptide from spider venom but demonstrated in silico-based design of hybrid AMP with strong antimicrobial activity that can contribute to combating MDR pathogens, broadening the utilization of biological resources by incorporating computational approaches.

Background: The emergence and prevalence of antibiotic-resistant bacteria (ARBs) have become a serious global threat, as the morbidity and mortality associated with ARB infections are continuously rising. The activation of quorum sensing (QS) genes can promote biofilm formation, which contributes to the acquisition of drug resistance and increases virulence. Therefore, there is an urgent need to develop new antimicrobial agents to control ARB and prevent further development. Antimicrobial peptides (AMPs) are naturally occurring defense molecules in organisms known to suppress pathogens through a broad range of antimicrobial mechanisms. Methods: In this study, we utilized a previously developed deep-learning model to identify AMP candidates from the venom gland transcriptome of the spider Pardosa astrigera, followed by experimental validation. Results: PA-Win2 was among the top-scoring predicted peptides and was selected based on physiochemical features. Subsequent experimental validation demonstrated that PA-Win2 inhibits the growth of Bacillus subtilis, Escherichia coli, Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, and multidrug-resistant P. aeruginosa (MRPA) strain CCARM 2095. The peptide exhibited strong bactericidal activity against P. aeruginosa, and MRPA CCARM 2095 through the depolarization of bacterial cytoplasmic membranes and alteration of gene expression associated with bacterial survival. In addition, PA-Win2 effectively inhibited biofilm formation and degraded pre-formed biofilms of P. aeruginosa. The gene expression study showed that the peptide treatment led to the downregulation of QS genes in the Las, Pqs, and Rhl systems. Conclusions: These findings suggest PA-Win2 as a promising drug candidate against ARB and demonstrate the potential of in silico methods in discovering functional peptides from biological data.

Most respiratory diseases are driven by excessive airway inflammation and oxidative stress, yet current therapies often lack durable efficacy or are unsafe. Host-defense peptides, commonly enriched in animal venoms, offer diverse, target-selective scaffolds for new therapeutics. In this study, we aimed to discover a novel bioactive peptide with therapeutic potential on respiratory tract damage by utilizing Nephila clavata venom gland transcriptome. Using in silico analysis and machine learning-based functional prediction, we designed a peptide, NC-CV, expected to have dual anti-inflammatory and antioxidant activities with low cytotoxicity. In experimental validation, NC-CV improved human bronchial epithelial BEAS-2B cell viability under lipopolysaccharide (LPS) exposure while reducing LPS-induced pro-inflammatory cytokine expression and intracellular reactive oxygen species (ROS) generation. Mechanistic studies and molecular docking simulations indicated that NC-CV prevents toll-like receptor 4 signaling activation, suppressing nuclear factor κB and mitogen-activated protein kinase pathways. Moreover, the antioxidant activity of NC-CV was primarily based on direct intracellular ROS scavenging rather than the induction of endogenous antioxidant enzymes. Collectively, these findings demonstrated that the venom-derived peptide NC-CV disrupts the self-reinforcing cycle involving inflammatory signaling and oxidative stress in airway epithelium, highlighting its promise as a therapeutic candidate for respiratory disease.