Biological relevance of network motifs

Determine the general biological relevance of network motifs identified in real biological networks.

Background

Network motifs are small subgraphs that occur more frequently than expected in null models and are often interpreted as functional building blocks, with applications ranging from robustness analysis to the design of synthetic gene circuits.

Despite their utility, the authors emphasize that the extent to which motif prevalence reflects genuine biological function (as opposed to byproducts of generative processes or statistical artifacts) remains unresolved.

References

Although motif analysis is a valuable tool, e.g., when assessing the vulnerability of complex networks, its biological relevance in general remains unclear.

— Networks: The Visual Language of Complexity  (2410.16158 - Vidiella et al., 2024) in Section "Motifs"

Although it remains unclear what fraction of protein interfaces can be described by correlated motifs of this kind, existing approaches consistently show that such motifs do contain meaningful information about interaction interfaces.

— Mining Correlated Motifs with Wildcards in PPI Networks: Exact and Optimal  (2610.17958 - Oliveira et al., 13 Oct 2026) in Section 1, Introduction