Quantitative modeling in cell biology: what is it good for?

by: A Mogilner, R Wollman, WF Marshall

Dev Cell, Vol. 11, No. 3. (September 2006), pp. 279-287.

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Abstract

Recently, there has been a surge in the number of pioneering studies combining experiments with quantitative modeling to explain both relatively simple modules of molecular machinery of the cell and to achieve system-level understanding of cellular networks. Here we discuss the utility and methods of modeling and review several current models of cell signaling, cytoskeletal self-organization, nuclear transport, and the cell cycle. We discuss successes of and barriers to modeling in cell biology and its future directions, and we argue, using the field of bacterial chemotaxis as an example, that the closer the complete systematic understanding of cell behavior is, the more important modeling becomes and the more experiment and theory merge.

@article{citeulike:936055, abstract = {Recently, there has been a surge in the number of pioneering studies combining experiments with quantitative modeling to explain both relatively simple modules of molecular machinery of the cell and to achieve system-level understanding of cellular networks. Here we discuss the utility and methods of modeling and review several current models of cell signaling, cytoskeletal self-organization, nuclear transport, and the cell cycle. We discuss successes of and barriers to modeling in cell biology and its future directions, and we argue, using the field of bacterial chemotaxis as an example, that the closer the complete systematic understanding of cell behavior is, the more important modeling becomes and the more experiment and theory merge.}, address = {Department of Neurobiology, Physiology and Behavior, University of California, Davis, 95616, USA. mogilner@math.ucdavis.edu}, author = {Mogilner, A. and Wollman, R. and Marshall, W. F. }, citeulike-article-id = {936055}, doi = {10.1016/j.devcel.2006.08.004}, issn = {1534-5807}, journal = {Dev Cell}, keywords = {model, review}, month = {September}, number = {3}, pages = {279--287}, posted-at = {2006-11-08 10:27:48}, priority = {0}, title = {Quantitative modeling in cell biology: what is it good for?}, url = {http://dx.doi.org/10.1016/j.devcel.2006.08.004}, volume = {11}, year = {2006} }

RIS record

TY - JOUR ID - citeulike:936055 L3 - citeulike-article-id:936055 TI - Quantitative modeling in cell biology: what is it good for? JF - Dev Cell VL - 11 IS - 3 SP - 279 EP - 287 AD - Department of Neurobiology, Physiology and Behavior, University of California, Davis, 95616, USA. mogilner@math.ucdavis.edu SN - 1534-5807 N2 - Recently, there has been a surge in the number of pioneering studies combining experiments with quantitative modeling to explain both relatively simple modules of molecular machinery of the cell and to achieve system-level understanding of cellular networks. Here we discuss the utility and methods of modeling and review several current models of cell signaling, cytoskeletal self-organization, nuclear transport, and the cell cycle. We discuss successes of and barriers to modeling in cell biology and its future directions, and we argue, using the field of bacterial chemotaxis as an example, that the closer the complete systematic understanding of cell behavior is, the more important modeling becomes and the more experiment and theory merge. KW - model KW - review AU - Mogilner, A AU - Wollman, R AU - Marshall, WF PY - 2006/09// UR - http://dx.doi.org/10.1016/j.devcel.2006.08.004 ER -

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