系统生物学的通路信息。

Pathway information for systems biology.

作者信息

Cary Michael P, Bader Gary D, Sander Chris

机构信息

Computational Biology Center, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 460, New York, NY 10021, USA.

出版信息

FEBS Lett. 2005 Mar 21;579(8):1815-20. doi: 10.1016/j.febslet.2005.02.005.

DOI:10.1016/j.febslet.2005.02.005

PMID:15763557

Abstract

Pathway information is vital for successful quantitative modeling of biological systems. The almost 170 online pathway databases vary widely in coverage and representation of biological processes, making their use extremely difficult. Future pathway information systems for querying, visualization and analysis must support standard exchange formats to successfully integrate data on a large scale. Such integrated systems will greatly facilitate the constructive cycle of computational model building and experimental verification that lies at the heart of systems biology.

摘要

通路信息对于生物系统的成功定量建模至关重要。近170个在线通路数据库在生物过程的覆盖范围和表示方式上差异很大，这使得它们的使用极其困难。未来用于查询、可视化和分析的通路信息系统必须支持标准交换格式，以便成功地大规模整合数据。这样的集成系统将极大地促进计算模型构建和实验验证的建设性循环，而这正是系统生物学的核心所在。