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Publication - Professor Claire Grierson

    Organisation of feed-forward loop motifs reveals architectural principles in natural and engineered networks

    Citation

    Gorochowski, T, Grierson, C & Di Bernardo, M, 2018, ‘Organisation of feed-forward loop motifs reveals architectural principles in natural and engineered networks’. Science Advances.

    Abstract

    Network motifs are significantly over-represented sub-graphs that have been proposed as building blocks for natural and engineered networks. Detailed functional analysis has been performed for many types of motif in isolation, but less is known about how motifs work together to perform complex tasks. To address this issue, we measure the aggregation of network motifs via methods that extract precisely how these structures are connected. Applying this approach to a broad spectrum of networked systems, and focusing on the widespread feed-forward loop motif, we uncover striking differences in motif organisation. The types of connection are often highly constrained, differ between domains, and clearly capture architectural principles. We show how this information can be used to effectively predict functionally important nodes in the metabolic network of Escherichia coli. Our findings have implications for understanding how networked systems are constructed from motif parts and elucidates constraints that guide their evolution.

    Full details in the University publications repository