Inhibitory effect and potential mechanism of Perceptide-TJ-2,an antimicrobial peptide designed based on artificial intelligence,on Hantaan virus infection
HOU Shiyuan
LIU Ziyu
SUN Danni
SHEN Xing
LIU Xinyue
LIU Rongrong
WU Xing'an
Abstract：Objective To investigate the inhibitory effect and primary antiviral mechanism of the artificial intelligence-designed antimicrobial peptides(AMPs)Perceptide-TJ-2 on Hantaan virus(HTNV)infection.Methods Immunofluorescence,qRT-PCR,Western blotting,and other techniques were employed to detect the virus expression following treatment with Perceptide-TJ-2 at various infection time points.The involvement of Perceptide-TJ-2 in early HTNV infection stages,such as attachment and penetration,was validated using the aforementioned methods.Additionally,surface plasmon resonance experiments were conducted to confirm the interaction between Perceptide-TJ-2 and HTNV Gn protein,while molecular docking simulations were utilized to elucidate the binding mechanism between Perceptide-TJ-2 and HTNV Gn.Results Pre-treatment of host cells or HTNV virus with the peptide before infection,or addition of the peptide and virus during infection,effectively inhibited HTNV infection.Subsequent analysis demonstrated that Perceptide-TJ-2 predominantly inhibited viral infection during the attachment stage by interacting with the HTNV Gn protein,thereby impeding viral entry into host cells.Conclusion The findings demonstrate the significant anti-HTNV infection activity of Perceptide-TJ-2,attributed to its ability to bind to HTNV Gn protein,thereby impeding virus-host cell interaction and exerting antiviral effects.This study provides a potential strategy for the development of novel AMPs-based drugs against HTNV infection.
Keywords：Hantaan virusantimicrobial peptideantiviralmechanism of actionenvelope glycoprotein
Publication Date：2025-11-30
Online Publishing Date：2026-08-26(First online date of this platform, not the publication date of the document)
Pages：8( 1473-1480 )