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Complex networks as computational devices

Inside each living cell is a tiny universe unto itself: vast interconnected communication networks of signaling molecules (mostly proteins, including enzymes, scaffolds and small molecules ('second messengers'), that dynamically assemble and disassemble in order to interpret stimuli and signals generated both outside and within the cell.We are now beginning to decipher the extraordinary mathematical properties of cellular signalling networks. The remarkable characteristics of these complex networks enable them to represent a kind of 'brain for the cell - allowing the …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

The mathematics of robustness in molecular communication networks

Robustness, and the ability to function and thrive amid changing and unfavourable environments, is a fundamental requirement for living systems. In the past, it has been a mystery how large and complex biological networks can exhibit robust performance since complexity is generally associated with fragility.Exciting recent research here at QUT has suggested a resolution to this paradox through the discovery that robust adaptive signalling networks must be constructed from a small number of well-defined universal modules ("motifs"). The existence of …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
Science and Engineering Faculty

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