Research

From the systems biology perspective, living organisms can be viewed as being comprised of dynamic networks of biochemical reactions. The origin of disease is characterized by the disruption of one or more signaling cascades, which may arise due to defects at the molecular level. These events ultimately result in the symptomatic manifestation of disease, due to disturbances in usual functions of the cascades involved. Computational modeling of molecular pathways acts as a backbone for the development of disease models. To functionalize computational models as a disease model, one or more signaling molecules function are altered. In complex diseases, there are numerous cells involving different cascades. In such case, an integrative modeling approach assisted by the CytoSolve platform, sheds more light on the effects of the dysfunction mediated by molecular pathways. This could potentially lead to the identification of new biomarkers, targets, and ultimately, therapeutics with beneficial effects in an overall sense rather than those arising from targeting a single molecule. CytoSolve collaborates with leading research institutions in the development of complex and large-scale molecular systems architectures. These architectures are used as a framework in the development of predictive and quantitative models of disease and complex biological phenomena.