Executable cell biology Export

@article{citeulike:1885378, abstract = {Computational modeling of biological systems is becoming increasingly important in efforts to better understand complex biological behaviors. In this review, we distinguish between two types of biological models—mathematical and computational—which differ in their representations of biological phenomena. We call the approach of constructing computational models of biological systems 'executable biology', as it focuses on the design of executable computer algorithms that mimic biological phenomena. We survey the main modeling efforts in this direction, emphasize the applicability and benefits of executable models in biological research and highlight some of the challenges that executable biology poses for biology and computer science. We claim that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research. This will drive biology toward a more precise engineering discipline.}, author = {Fisher, Jasmin and Henzinger, Thomas A.}, citeulike-article-id = {1885378}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nbt1356}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nbt1356}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17989686}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17989686}, day = {07}, doi = {10.1038/nbt1356}, issn = {1087-0156}, journal = {Nature Biotechnology}, keywords = {biology, simulation}, month = {November}, number = {11}, pages = {1239--1249}, posted-at = {2008-04-23 18:43:04}, priority = {2}, publisher = {Nature Publishing Group}, title = {Executable cell biology}, url = {http://dx.doi.org/10.1038/nbt1356}, volume = {25}, year = {2007} }

TY - JOUR ID - citeulike:1885378 L3 - citeulike-article-id:1885378 N2 - Computational modeling of biological systems is becoming increasingly important in efforts to better understand complex biological behaviors. In this review, we distinguish between two types of biological models—mathematical and computational—which differ in their representations of biological phenomena. We call the approach of constructing computational models of biological systems 'executable biology', as it focuses on the design of executable computer algorithms that mimic biological phenomena. We survey the main modeling efforts in this direction, emphasize the applicability and benefits of executable models in biological research and highlight some of the challenges that executable biology poses for biology and computer science. We claim that for executable biology to reach its full potential as a mainstream biological technique, formal and algorithmic approaches must be integrated into biological research. This will drive biology toward a more precise engineering discipline. IS - 11 JF - Nature Biotechnology SN - 1087-0156 EP - 1249 TI - Executable cell biology PB - Nature Publishing Group VL - 25 SP - 1239 KW - biology KW - simulation AU - Fisher, Jasmin AU - Henzinger, Thomas PY - 2007/11/07/ UR - http://dx.doi.org/10.1038/nbt1356 ER -