Abstract
Immune System Modeling and Related Pathologies
Highlights
Carvalho et al presents an approach in which a computational model represents the interaction of mycobacterium infection with the innate immune system in zebrafish
A major challenge in immunology is the translation of data into knowledge given the inherent complexity and dynamics of human physiology
Pennisi presents a mathematical model developed to reproduce the immune response entitled with the combined administration of activated OT1 cytotoxic T lymphocytes (CTLs) and AntiCD137 monoclonal antibodies
Summary
Processing and analysis of these data are accelerating the expansion of our knowledge of biological systems. 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 whole organism, and even at population levels. Advanced applications of computer models that enable the simulation of biological processes are used to generate hypotheses and plan experiments [4–7].
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