Revolutions in biotechnology and information technology have produced enormous amounts of data and are accelerating the extension of our knowledge of biological systems. These advances are changing the way biomedical research, development, and applications are done. Clinical data complement biological data, enabling detailed descriptions of various healthy and diseased states, progression and responses to therapies. The availability of data representing various biological states, processes, and their time dependencies enables the study of biological systems at various levels of organization, from molecule to organism, and even population levels. Multiple sources of data support a rapidly growing body of biomedical knowledge; however our ability to analyze and interpret these data lags far behind data generation and storage capacity. Mathematical and computational models are increasingly used to help interpret biomedical data produced by high-throughput genomics and proteomics projects. Advanced applications of computer models that enable the simulation of biological processes are used to generate hypotheses and plan experiments. Appropriately interfaced with biomedical databases, computational models are necessary for rapid access to and sharing of knowledge through data mining and knowledge discovery approaches.

We particularly take an interest in manuscripts that investigate the physiology and pathology of the immune responses, from cellular and/or molecular point of views. Applications of computational simulations, mathematical and statistical methods to the discovery, design, and optimization of drugs, vaccines, and other immunotherapies, as well as reviews, are also welcome. Potential topics include, but are not limited to:

• Modeling of cancer and immune system competition
• Modeling of autoimmune diseases
• Cellular and molecular modeling of specific aspects of the immune system
• Modeling of immune response to infectious diseases
• Modeling and optimization of novel treatments against diseases (including pharmacogenomics)

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: