Development of a Novel Method for Biochemical Systems Simulation: Incorporation of Stochasticity in a Deterministic Framework

摘要: Heart disease, cancer, diabetes and other complex diseases account for more than half of human mortality in the United States. Other such as AIDS, asthma, Parkinson’s Alzheimer’s disease cerebrovascular ailments stroke not only augment this but also severely deteriorate quality life experience. In spite enormous financial support global scientific effort over an extended period time to combat challenges posed by these ailments, we find ourselves short sighting a cure or vaccine. It is widely believed that major reason failure traditional reductionist approach adopted community past. recent times, however, systems biology based research paradigm has gained significant favor especially field diseases. One critical components computational which largely driven mathematical modeling simulation biochemical systems. The most common methods simulating system are either: a) continuous deterministic b) discrete event stochastic methods. Although highly popular, none them suitable multi-scale models biological ubiquitous research. work novel method on solution presented with modification permits incorporation effects. This new method, through extensive validation, been proven possess efficiency framework combined accuracy method. crossover can handle concentration spatial gradients it does so computationally efficient manner. development will undoubtedly aid researchers providing tool simulate INDEX WORDS: Systems biology, Biosimulation, Numerical methods, System dynamics DEVELOPMENT OF A NOVEL METHOD FOR BIOCHEMICAL SYSTEMS SIMULATION: INCORPORATION STOCHASTICITY IN DETERMINISTIC FRAMEWORK