Revolutionizing the virulent protein Internalin a in Listeria monocytogenes and designing multi epitope-based vaccine via immunoinformatic approaches

Abstract

This study addresses the crucial protein Internalin A in the development of a possible vaccination against Listeria monocytogenes. A meticulous in silico strategy was used which included physiochemical analysis, epitope prediction, and molecular interaction studies. Computational techniques shed light on potential development of a vaccine candidate against Listeria, with a focus on the Internalin A protein along with its immune simulations. Insights into molecular interactions and physiochemical features aid in understanding of prospective Listeria vaccine candidates. Ultimately, the computational analysis in this study sets the groundwork for the creation of a possible vaccination against Listeria. The discovered epitopes and insights into molecular interactions are useful for experimental validation. In vitro and in vivo investigations should be conducted in the future to confirm the effectiveness of these anticipated epitopes. These findings advanced our understanding of vaccine design by providing insights into battling Listeria infections and perhaps guiding tactics for other diseases.