Definition: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: Immunity to respiratory virus infection is governed by complex biological networks that influence disease progression and pathogenesis. Systems biology provides an opportunity to explore and understand these multifaceted interactions based on integration and modeling of multiple biological parameters. In this review, we describe new and refined systems-based approaches used to model, identify, and validate novel targets within complex networks following influenza and coronavirus infection. In addition, we propose avenues for extension and expansion that can revolutionize our understanding of infectious disease processes. Together, we hope to provide a window into the unique and expansive opportunity presented by systems biology to understand complex disease processes within the context of infectious diseases. analysis, and model refinement, thus highlighting the iterative cycles intended by systems biology. In this way, the systems biology paradigm drives understanding of complex systems through identification of novel, important components. The approach is not without criticism. Skeptics of systems biology criticize its high cost, slow pace, and descriptive results (2). While these charges reflect the initial development of any new field, the complaints are not at the root of the disillusionment with systems biology. Rather, subscribers of systems biology also over-emphasized the limitations of reductionist science and the corresponding lack of progress in complex diseases treatments for cancer, human immunodeficiency virus (HIV) infection, and diabetes (9). Systems biology was heralded as the evolution and replacement of these approaches, providing novel insights through hypothesis-neutral and discovery based approaches (4). Yet, it has also been fraught with setbacks and challenges, leading to criticisms on its reliance on reductionist-based approaches for validation, lack of hypothesis-driven direction, and declarations that the entire endeavor as a fishing expedition with a limited, non-specific catch (9). This conflict highlights the great irony of systems biology; an approach designed to integrate biological data has successfully divided the scientific field.

Bugs in the System