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Computational systems biology

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 sci... Full description

Journal Title: Nature (London) 2002-11-14, Vol.420 (6912), p.206-210
Main Author: Kitano, Hiroaki
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: London: Nature Publishing
ID: ISSN: 0028-0836
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recordid: cdi_proquest_miscellaneous_743135838
title: Computational systems biology
format: Article
creator:
  • Kitano, Hiroaki
subjects:
  • Animals
  • Biological and medical sciences
  • Cells - cytology
  • Cells - metabolism
  • Computational Biology - methods
  • Computational Biology - trends
  • Computer Simulation
  • Drug Evaluation, Preclinical
  • Fundamental and applied biological sciences. Psychology
  • Gene Expression Regulation
  • General aspects
  • Humans
  • Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
  • Medicine - methods
  • Medicine - trends
  • Molecular Biology - methods
  • Molecular Biology - trends
  • Systems Theory
  • Theories. Reviews
ispartof: Nature (London), 2002-11-14, Vol.420 (6912), p.206-210
description: 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.
language: eng
source:
identifier: ISSN: 0028-0836
fulltext: no_fulltext
issn:
  • 0028-0836
  • 1476-4687
url: Link


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subjectAnimals ; Biological and medical sciences ; Cells - cytology ; Cells - metabolism ; Computational Biology - methods ; Computational Biology - trends ; Computer Simulation ; Drug Evaluation, Preclinical ; Fundamental and applied biological sciences. Psychology ; Gene Expression Regulation ; General aspects ; Humans ; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) ; Medicine - methods ; Medicine - trends ; Molecular Biology - methods ; Molecular Biology - trends ; Systems Theory ; Theories. Reviews
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abstractTo 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.
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