Methods for and results from the study of design principles in molecular systems

Salvadó López, Baldiri; Karathia, Hiren; Usié Chimenos, Anabel; Vilaprinyo Terré, Ester; Omholt, Stig; Sorribas Tello, Albert; Alves, Rui

doi:https://doi.org/10.1016/j.mbs.2011.02.005

View/Open

020996.pdf (1.366Mb)
Sol·licita una còpia

Issue date

2011

Author

Salvadó López, Baldiri

Karathia, Hiren

Usié Chimenos, Anabel

Vilaprinyo Terré, Ester

Omholt, Stig

Sorribas Tello, Albert

Alves, Rui

Suggested citation

Salvadó López, Baldiri; Karathia, Hiren; Usié Chimenos, Anabel; Vilaprinyo Terré, Ester; Omholt, Stig; Sorribas Tello, Albert; Alves, Rui; . (2011) . Methods for and results from the study of design principles in molecular systems. Mathematical Biosciences, 2011, vol. 231, núm. 3-18. https://doi.org/10.1016/j.mbs.2011.02.005.

Abstract

Most aspects of molecular biology can be understood in terms of biological design principles. These principles can be loosely defined as qualitative and quantitative features that emerge in evolution and recur more frequently than one would expect by chance alone in biological systems that perform

a given type of process or function. Furthermore, such recurrence can be rationalized in terms of the functional advantage that the design provides to the system when compared with possible alternatives. This paper focuses on those design features that can be related to improved functional effectiveness of molecular and regulatory networks. We begin by reviewing assumptions and methods that underlie the study of such principles in molecular networks. We follow by discussing many of the design principles that have been found in genetic, metabolic, and signal transduction circuits. We concentrate mainly on results in the context of Biochemical Systems Theory, although we also briefly discuss other work. We conclude by discussing the importance of these principles for both, understanding the natural evolution of complex networks at the molecular level and for creating artificial biological systems with specific features.

URI

http://hdl.handle.net/10459.1/57105

DOI

https://doi.org/10.1016/j.mbs.2011.02.005

Is part of

Mathematical Biosciences, 2011, vol. 231, núm. 3-18