| Chapter title |
Role of Computational Modeling in Understanding Cell Cycle Oscillators
|
|---|---|
| Chapter number | 3 |
| Book title |
Cell Cycle Oscillators
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2957-3_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2956-6, 978-1-4939-2957-3
|
| Authors |
Attila Csikász-Nagy, Ivan Mura |
| Abstract |
The periodic oscillations in the activity of the cell cycle regulatory program, drives the timely activation of key cell cycle events. Interesting dynamical systems, such as oscillators, have been investigated by various theoretical and computational modeling methods. Thanks to the insights achieved by these modeling efforts we have gained considerable insights about the underlying molecular regulatory networks that can drive cell cycle oscillations. Here we review the basic features and characteristics of biological oscillators, discussing from a computational modeling point of view their specific architectures and the current knowledge about the dynamics that the life evolution selected to drive cell cycle oscillations. |
Mendeley readers
Geographical breakdown
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|---|---|---|
| Colombia | 1 | 11% |
| France | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 3 | 33% |
| Professor > Associate Professor | 1 | 11% |
| Unspecified | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 22% |
| Computer Science | 2 | 22% |
| Unspecified | 1 | 11% |
| Neuroscience | 1 | 11% |
| Chemistry | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |