Due to the emergence of antimicrobial resistance and the lack of new antibacterial agents, it has become urgent to discover and develop new antibacterial agents against multidrug-resistant pathogens. Antimicrobial peptides (AMPs) serve as the first line of defense for the host. In this work, we have designed, synthesized, and biologically evaluated a series of phenyl sulfide derivatives by biomimicking the structural features and biological functions of AMPs. Among these derivatives, the most promising compound 17 exhibited potent antibacterial activity against Gram-positive bacteria (minimum inhibitory concentrations = 0.39–1.56 μg/mL), low hemolytic activity (HC50 > 200 μg/mL), and high membrane selectivity. In addition, 17 can rapidly kill Gram-positive bacteria within 0.5 h through membrane-targeting action and avoid antibiotic resistance. More importantly, 17 showed high in vivo efficacy against Staphylococcus aureus in a murine corneal infection model. Therefore, 17 has great potential as a lead compound for the treatment of Gram-positive bacterial infections.

Antibiotic resistance is emerging as a "global public health concern". To address the growing epidemic of multidrugresistant pathogens, the development of novel antimicrobials is urgently needed. In this study, by biomimicking cationic antibacterial peptides, we designed and synthesized a series of new membrane-active nonivamide and capsaicin derivatives as peptidomimetic antimicrobials. Through modulating charge/ hydrophobicity balance and rationalizing structure−activity relationships of these peptidomimetics, compound 51 was identified as the lead compound. Compound 51 exhibited potent antibacterial activity against both Gram-positive bacteria (MICs = 0.39−0.78 μg/mL) and Gram-negative bacteria (MICs = 1.56− 6.25 μg/mL), with low hemolytic activity and low cytotoxicity. Compound 51 displayed a faster bactericidal action through a membrane-disruptive mechanism and avoided bacterial resistance development. Furthermore, compound 51 significantly reduced the microbial burden in a murine model of keratitis infected by Staphylococcus aureus or Pseudomonas aeruginosa. Hence, this design strategy can provide a promising and effective solution to overcome antibiotic resistance.