A Perspective on the Role of Computational Models in Immunology

摘要: This is an exciting time for immunology because the future promises to be replete with new discoveries that can translated improve health and treat disease in novel ways. Immunologists are attempting answer increasingly complex questions concerning phenomena range from genetic, molecular, cellular scales of organs, whole animals or humans, populations humans pathogens. An important goal understand how many different components involved interact each other within across these immune responses emerge, aberrant regulation processes causes disease. To aid this quest, large amounts data collected using high-throughput instrumentation. The nonlinear, cooperative, stochastic character interactions between system as well overwhelming make it difficult intuit patterns a mechanistic understanding being studied. Computational models confronting overcoming challenges. I first describe iterative paradigm research integrates laboratory experiments, clinical data, computational inference, models. then illustrate few examples recent literature vivid power bringing together diverse types experimental studies fruitfully interrogate system.