Computational models of biochemical networks from semi-quantitative data

半定量数据的生化网络计算模型

• 批准号: 386682-2010
• 负责人: Ruths, Derek
• 金额: $ 1.97万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=463902
• 关键词: Computational; models; biochemical; networks; semi

The cell consists of intricate networks of biochemical interactions that are responsible for a wide array of cellular behaviors including cell growth, death, and movement. For this reason, a better understanding of these networks will enable bioengineers to modify cells to perform functions that address important problems such as energy production and waste disposal; biomedical researchers to repair cells involved in devastating diseases such as cancer; and researchers in other areas to gain insights into how to design complex systems with desirable properties exhibited by these networks: stability, robustness, and adaptivity.

细胞由复杂的生化相互作用网络组成，这些网络负责广泛的细胞行为，包括细胞生长，死亡和运动。 因此，更好地了解这些网络将使生物工程师能够修改细胞以执行解决重要问题的功能，如能源生产和废物处理;生物医学研究人员可以修复与癌症等毁灭性疾病有关的细胞;其他领域的研究人员可以深入了解如何设计具有这些网络所展示的理想特性的复杂系统：稳定性，鲁棒性和适应性。