Evidence map›Paper›PMID 41986385›Full record

ReviewNPJ systems biology and applications2026

Network hypermotifs in biological systems: structure, dynamics, and functional implications.

Moirangthem Sailash Singh, Priyan Bhattacharya, Karthik Raman

Abstract readReview
In one paragraph

Review in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Moirangthem Sailash SinghDepartment of Data Science and AI, Wadhwani School of Data Science and AI, IIT Madras, Chennai, 600 036, India. sailashm@gmail.com.
Priyan BhattacharyaAstraZeneca India Private Limited, Bengaluru, India.
Karthik RamanDepartment of Data Science and AI, Wadhwani School of Data Science and AI, IIT Madras, Chennai, 600 036, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gene Regulatory NetworksSystems BiologyAnimalsHumansModels, Biological

Identifiers

PMID41986385
PMCPMC13373192

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.