Models and computational strategies linking physiological response to molecular networks from large-scale data.

Full Abstract

An important area of research in systems biology involves the analysis and integration of genome-wide functional datasets. In this context, a major goal is the identification of a putative molecular network controlling physiological response from experimental data. With very fragmentary mechanistic information, this is a challenging task. A number of methods have been developed, each one with the potential to address an aspect of the problem. Here, we review some of the most widely used methodologies and report new results in support of the usefulness of modularization and other modelling techniques in identifying components of the molecular networks that are predictive of physiological response. We also discuss how system identification in biology could be approached, using a combination of methodologies that aim to reconstruct the relationship between molecular pathways and physiology at different levels of the organizational complexity of the molecular network.

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Author information

Author/s: Ortega, Fernando (F); Sameith, Katrin (K); Turan, Nil (N); Compton, Russell (R); Trevino, Victor (V); Vannucci, Marina (M); Falciani, Francesco (F);

Affiliation: School of Biosciences and IBR, University of Birmingham, Birmingham B15 2TT, UK.

Grants: BB/D524624/1 (Agency:United Kingdom Biotechnology and Biological Sciences Research Council)

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences (Philos Transact A Math Phys Eng Sci), published in England. (Language: eng)

Reference: 2008-Sep; vol 366 (issue 1878) : pp 3067-89

Dates: Created 2008/07/28; Completed 2008/09/30;

PMID: 18559319, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Models, Biological
Neoplasms - physiopathology
Phenotype
Physiology
Systems Biology

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