Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Computational models in systems biology. | Meeting report Computational models in systems biology Laurence Loewe and Jane Hillston Addresses Centre for Systems Biology at Edinburgh School of Biological Sciences The University of Edinburgh Kings Buildings Mayfield Road Edinburgh EH9 3JU Scotland UK. Laboratory for the Foundations of Computer Science School of Informatics The University of Edinburgh Informatics Forum 10 Crichton Street Edinburgh EH8 9AB Scotland UK. Correspondence Laurence Loewe. Email Published 10 December 2008 Genome Biology 2008 9 328 doi gb-2008-9-12-328 The electronic version of this article is the complete one and can be found online at http 2008 9 12 328 2008 BioMed Central Ltd A report of the 6th International Conference on Computational Methods in Systems Biology Rostock Germany 12-15 October 2008. One of the chief goals of systems biology is to build mechanistic mathematical models of biological systems to further the understanding of biological detail. Such models often aim at predicting the outcome of potentially interesting biological experiments and if such predictions are confirmed by wet-lab observations an important step forward is made. How exactly such models are constructed and how predictions are computed were at the core of a recent conference on Computational Methods in Systems Biology that brought 80 participants to Rostock Germany for conference proceedings see volume 5307 of Lecture Notes in Bioinformatics http 978-3-54o-88562-7 . A simplistic approach to model construction might be to capture everything that is known about a system and simulate it in supercomputers. While this is appropriate for some systems it is impossible or highly impracticable for many others. This is mostly due to the complexity of biological systems which demand simplification to make them amenable to modeling. Such simplifications have to capture the essence of the processes of interest while neglecting as many of the less
