Neisseria gonorrhea is a sexually transmitted disease from gonorrhea that lacks treatment; despite the urgency, the absence of adequate drugs, lack of human correlates of protection, and inadequate animal models of infection have delayed progress toward the prevention of gonococcal infection. Lactobacillus crispatus is a lactic acid bacterium typically found in the human vaginal microbiota. Peptides from L. crispatus have shown a potential therapeutic option for targetting N. gonorrhea. Bioinformatics analysis is important for speeding up drug target acquisition, screening refinement, and evaluating adverse effects and drug resistance prediction. Therefore, this study identified an antimicrobial peptide from the bacteriocin immunity protein (BIP) of L. crispatus using the bioinformatics tool and Collection of Antimicrobial Peptide (CAMPR3). Based on the AMP score and highest ADMET properties, the peptide SM20 was chosen for docking analysis. SM20 was docked against multiple proteins from the genome of the AMR bacterium N. gonorrhea using an online tool; protein-peptide interactions were established and visualized using the PyMol visualizing tool. Molecular docking was carried out using the CABSdock tool, and multiple conformations were obtained against the membrane proteins of N. gonorrhoea. The peptide SM20 exhibited higher docking scores and ADMET properties. Therefore, SM20 could be further encapsulated with cellulose; it can be applied topically to the genital tract to target N. gonorrhea infection. The controlled release of the antimicrobial peptide from the gel can provide sustained delivery of the treatment, increasing its efficacy and reducing the risk of resistance development.
Keywords: Antimicrobial peptide; Gonorrhoea; Lactobacillus crispatus; Neisseria gonorrhea; Sexually transmitted disease.
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