Computational systems biology

被引：1331

作者：

Kitano, H

机构：

[1] Sony Comp Sci Labs Inc, Tokyo 1410022, Japan

[2] Japan Sci & Technol Corp, ERATO, Kitano Symbiot Syst Project, Tokyo 1500001, Japan

[3] Syst Biol Inst, Tokyo 1500001, Japan

[4] Keio Univ, Sch Fundamental Sci & Technol, Kohoku Ku, Kanagawa 2238522, Japan

[5] CALTECH, Pasadena, CA 91125 USA

来源：

NATURE | 2002年 / 420卷 / 6912期

关键词：

D O I：

10.1038/nature01254

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

To understand complex biological systems requires the integration of experimental and computational research - in other words a systems biology approach. Computational biology, through pragmatic modelling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight cover many different aspects of this energetic field, although all, in one way or another, illuminate the functioning of modular circuits, including their robustness, design and manipulation. Computational systems biology addresses questions fundamental to our understanding of life, yet progress here will lead to practical innovations in medicine, drug discovery and engineering.

引用

页码：206 / 210

页数：5

共 69 条

[1] Search in power-law networks [J].