References

Sophisticated high-throughput biological experiments to interrogate a cell provide a wide range of information about cell state and herald the era of systems biology. Experimental and com-putational methods developed for model organisms are now being extended to mammals and are rapidly helping to shed light on the systems biology of complex human diseases such as cancer and diabetes. Despite these advances, the computational molecular systems biology of infectious diseases has not received as much attention. Systems biology of infectious disease is intrinsically more difficult than that of model organisms as it involves the interaction of two complex systems. Furthermore, a significant hurdle to progress in host-pathogen systems biology is the severe lack of large-scale datasets detailing interactions between host and pathogen molecules during the process of infection and the events triggered by these interactions. This tutorial will present state-of-the-art research on two key aspects of host-pathogen systems biology: (i) computational prediction and experimental detection of interactions between host and pathogen proteins [1, 2, 3, 5, 6] and (ii) comparative analysis of host-pathogen protein interaction networks [4, 5]. The tutorial will be of interest to researchers working at the host-pathogen interface, be it in terms of studying comparative genomics, gene expression, protein interactions, infection pathways, immune response, or other related aspects