Systems Biology Markup Language (SBML)

models and tacit rule-based models have long been used in product development and safety testing in various engineering disciplines, such as aerospace engineering and electronic circuit design. It can be envisaged that predictive approaches is expected to increase significantly in the coming years in drug discovery too. The extent of omics-scale data and the advances in systems technologies to enable comprehension of such large complex data in the form of meaningful biological models are promising to help in this process. The power of systems biology methods is such that it may become possible in the not-too distant future, that a disease could get diagnosed in a clinical setting and characterized at the systems level with precise genotype and phenotype definitions, leading all the way up to predictive quantitative titrations of the available remedies and finally personalized prescriptions.