Network hypermotifs in biological systems: structure, dynamics, and functional implications
Biological networks exhibit complex structural organization, from motifs, which are recurring patterns of gene, protein, and molecular interactions, to higher order assemblies such as hypermotifs. Hypermotifs are statistically significant higher order assemblies formed through interactions and combinations of motifs, giving rise to collective structural and functional properties. This review discusses hypermotifs in biological networks, focusing on their structure, dynamics, functions, and patterns such as motif clustering and motif generalizations.
Authors
- Priyan Bhattacharya (ORCID: https://orcid.org/0000-0001-6757-1789)
- Karthik Raman
- Moirangthem Sailash Singh
Institutions
- Indian Institute of Technology Madras (IN)
- Madras Diabetes Research Foundation (IN)
- AstraZeneca (India) (IN)
- Data Management (Italy) (IT)
Publication Details
- Journal
- npj Systems Biology and Applications
- Published
- 2026-04-15
- DOI
- https://doi.org/10.1038/s41540-026-00701-7
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00