Bioinformatics in the Study of Host-Pathogen Interactions

Abstract

Host-pathogen interactions are fundamental to understanding the mechanisms of infection, immune response, and disease progression. Bioinformatics has become an essential tool in studying these interactions by analyzing large-scale genomic, transcriptomic, and proteomic data. This article reviews the bioinformatics methods used to study host-pathogen interactions, focusing on data integration, functional annotation, and predictive modeling. We explore the applications of bioinformatics in identifying key host and pathogen factors involved in infection, as well as the challenges and future directions in this area of research.