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Computational systems biology

Kitano, Hiroaki (2002) Computational systems biology. Nature, 420 (6912). pp. 206-210. ISSN 0028-0836. doi:10.1038/nature01254. https://resolver.caltech.edu/CaltechAUTHORS:20150331-151712115

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Abstract

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.


Item Type:Article
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http://dx.doi.org/10.1038/nature01254DOIArticle
http://www.nature.com/nature/journal/v420/n6912/abs/nature01254.htmlPublisherArticle
http://rdcu.be/cry7PublisherFree ReadCube access
Additional Information:© 2002 Nature Publishing Group. I thank S. Imai, J. Doyle, J. Tyson, T.-M. Yi, N. Hiroi and M. Morohashi for their useful comments on the manuscript. This research is, in part, supported by: the Rice Genome and Simulation Project (Ministry of Agriculture), International Standard Development area of International Joint Research Grant (New Energy and Industrial Technology Development Organization (NEDO)/Japanese Ministry of Economy, Trade and Industry (METI)), Exploratory Research for Advanced Technology (ERATO) and Institute for Bioinformatics Research and Development (BIRD) program (Japan Science and Technology Corporation), and through the special coordination funds for promoting science and technology from the Japanese government’s Ministry of Education, Culture, Sports, Science, and Technology.
Funders:
Funding AgencyGrant Number
Rice Genome and Simulation Project (Ministry of Agriculture)UNSPECIFIED
International Standard Development area of International Joint Research GrantUNSPECIFIED
New Energy and Industrial Technology Development Organization (NEDO)UNSPECIFIED
Japanese Ministry of Economy, Trade and Industry (METI)UNSPECIFIED
Exploratory Research for Advanced Technology (ERATO)UNSPECIFIED
Institute for Bioinformatics Research and Development (BIRD)UNSPECIFIED
Japan Science and Technology CorporationUNSPECIFIED
Issue or Number:6912
DOI:10.1038/nature01254
Record Number:CaltechAUTHORS:20150331-151712115
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150331-151712115
Official Citation:Computational systems biology p206 Hiroaki Kitano doi:10.1038/nature01254
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:56259
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:31 Mar 2015 22:58
Last Modified:10 Nov 2021 20:57

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