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On the complete determination of biological systems
Author(s): Selinger DW, Wright MA, Church GM
Source: TRENDS IN BIOTECHNOLOGY    Volume: 21    Issue: 6    Pages: 251-254    Published: JUN 2003  
Times Cited: 24     References: 17     
Abstract: The nascent field of systems biology ambitiously proposes to integrate information from large-scale biology projects to create computational models that are, in some sense, complete. However, the details of what would constitute a complete systems-level model of an organism are far from clear. To provide a framework for this difficult question it is useful to define a model as a set of rules that maps a set of inputs (e.g. descriptions of the cell's environment) to a set of outputs (e.g. the concentrations of all its RNAs and proteins). We show how the properties of a model affect the required experimental sampling and estimate the number of experiments needed to 'complete' a particular model. Based on these estimates, we suggest that the complete determination of a biological system is a concrete, achievable goal.
Document Type: Editorial Material
Language: English
Reprint Address: Church, GM (reprint author), Harvard Univ, Sch Med, Dept Genet, 200 Longwood Ave, Boston, MA 02115 USA
Addresses:
1. Harvard Univ, Sch Med, Dept Genet, Boston, MA 02115 USA
Publisher: ELSEVIER SCIENCE LONDON, 84 THEOBALDS RD, LONDON WC1X 8RR, ENGLAND
Subject Category: Biotechnology & Applied Microbiology
IDS Number: 691TK
ISSN: 0167-7799
DOI: 10.1016/S0167-7799(03)00113-6
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