后基因组时代的计算细胞生物学。

Computational cell biology in the post-genomic era.

作者信息

Levchenko A

机构信息

The Whitaker Institute for Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

出版信息

Mol Biol Rep. 2001;28(2):83-9. doi: 10.1023/a:1017913813132.

DOI:10.1023/a:1017913813132

PMID:11931392

Abstract

Rapid accumulation of biological data from novel high throughput technologies characteristic of genomic and proteomic research as well as advances in more traditional biological disciplines are leading to wider use of detailed and complex computational models of cell behavior. These models address a variety of dynamic intracellular processes ranging from interactions within a gene regulation network to intracellular and intercellular signal transduction. This review focuses on the current trends in computation cell biology, particularly emphasizing the role of experimental validation. The recent successes and future challenges facing computational cell biology are also discussed.

摘要

来自基因组学和蛋白质组学研究中新型高通量技术的生物数据迅速积累，以及传统生物学学科的进展，正导致细胞行为的详细和复杂计算模型得到更广泛的应用。这些模型涉及从基因调控网络内的相互作用到细胞内和细胞间信号转导等各种动态细胞内过程。本综述重点关注计算细胞生物学的当前趋势，特别强调实验验证的作用。还讨论了计算细胞生物学最近取得的成功和面临的未来挑战。