@article{majumder2013multiscale,
  title = {Multi-scale Modeling Approaches in Systems Biology towards the Assessment of Cancer Treatment Dynamics: Adoption of Middle-out Rationalist Approach},
  author = {Durjoy Majumder and Abhik Mukherjee},
  year = 2013,
  url = {https://ibimapublishing.com/articles/ACRT/2013/587889/},
  journal = {Advances in Cancer Research & Treatment},
  volume = 2013 (2013),
  pages = 26,
  doi = 10.5171/2013.587889,
  abstract = {Complex diseases like cancer are being viewed through the recent approach of systems biology (SB) with a hope that it could provide a better assessment about the disease dynamics. The prevailing approach in SB is the bottom-up approach which starts from global molecular integration of cell and then, proceeds across different levels of hierarchy of the physiological system. Undoubtedly this is the ideal mechanistic approach. However, due to large spatio-temporal variations together with the unavailability of molecular data at discrete time intervals from individual patients in clinic raise the issue of its realistic relevance. Moreover, understanding of the dynamical system reveals that any minor variation in the input data in a large model may produce a drastic shift in the output after a considerable number of iterations. This would be more pronounced with the molecular level data. Even if, making of congruency were possible, the treatment cost would be enormous. This limitation in the approach drags us to adopt the middle-out rational approach (MORA). In this approach, selection of the clinically relevant variables with known interrelationships across the different levels of hierarchy is important. With them dynamical model can be formulated with multi-scale modeling approach and subjected to predict-observe-correct cycle. This approach is not only able to track the system in an efficient manner but also helps in identifying the role of controlling variable(s). For implementing MORA, the practical procedures of data handling and thereby, reducing the uncertainties in clinical decision is needed urgent attention.  },
  keywords = {Systems biology, cancer dynamics, dynamical model of cancer therapy.},
  note = Article ID: 587889
}