Biological networks are currently being studied with approaches derived from the mathematical and physical sciences. Their structural analysis enables to highlight nodes with special properties that have sometimes been correlated with the biological importance of a gene or a protein. However, biological networks are dynamic both on the evolutionary time-scale, and on the much shorter time-scale of physiological processes. There is therefore no unique network for a given cellular process, but potentially many realizations, each with different properties as a consequence of regulatory mechanisms. Such realizations provide snapshots of a same network in different conditions, enabling the study of condition-dependent structural properties. True dynamical analysis can be obtained through detailed mathematical modeling techniques that are not easily scalable to full network models.

Structural and dynamical analysis of biological networks / C. Klein, A. Marino, M. Sagot, P. Milreu V., M. Brilli. - In: BRIEFINGS IN FUNCTIONAL GENOMICS. - ISSN 2041-2649. - 11:6(2012), pp. 420-433.

Structural and dynamical analysis of biological networks

Brilli M
2012

Abstract

Biological networks are currently being studied with approaches derived from the mathematical and physical sciences. Their structural analysis enables to highlight nodes with special properties that have sometimes been correlated with the biological importance of a gene or a protein. However, biological networks are dynamic both on the evolutionary time-scale, and on the much shorter time-scale of physiological processes. There is therefore no unique network for a given cellular process, but potentially many realizations, each with different properties as a consequence of regulatory mechanisms. Such realizations provide snapshots of a same network in different conditions, enabling the study of condition-dependent structural properties. True dynamical analysis can be obtained through detailed mathematical modeling techniques that are not easily scalable to full network models.
networks; structural analysis; centrality; mathematical modeling; flux balance analysis
Settore BIO/10 - Biochimica
Settore BIO/19 - Microbiologia Generale
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/620683
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