ArticleScience advances2018
Organization of feed-forward loop motifs reveals architectural principles in natural and engineered networks.
Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.
- A meta-analysis of Boolean network models reveals design principles of gene regulatory networks.Science advances · 2024Pooled it
- A Dataset of Benchmark Boolean Models for Gene Regulatory Networks.Scientific data · 2026Article
- Signed motif analysis of the Caenorhabditis elegans neuronal network reveals positive feedforward and negative feedback loops.BMC biology · 2026Article
- Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective.NPJ systems biology and applications · 2026Review
- Precision connectivity in osteoarthritis pain with permutation and network analysis: a key step toward clinical application.BMC medical imaging · 2025Article
- Pesticide Residues Reduce Bacterial Diversity but Enhance Stability via Network Motif Restructuring.Toxics · 2025Article
- Precision Connectivity in Arthritis Pain with Permutation and Network Analysis: A Key Step Toward Clinical Application.Research square · 2025Article
- Bioinformatics-Guided Experimental Validation Identifies NQO1 as a Senescence-Ferroptosis Hub in Liver Fibrosis.Biomedicines · 2025Article
- Stimulus type shapes the topology of cellular functional networks in mouse visual cortex.Nature communications · 2024Article
- Postural control in gymnasts: anisotropic fractal scaling reveals proprioceptive reintegration in vestibular perturbation.Frontiers in network physiology · 2024Article
- Competition and evolutionary selection among core regulatory motifs in gene expression control.Nature communications · 2023Article
- Stimulus-dependent functional network topology in mouse visual cortex.bioRxiv : the preprint server for biology · 2023Article
- A blueprint for a synthetic genetic feedback optimizer.Nature communications · 2023Article
- Avian Malaria Parasites Modulate Gut Microbiome Assembly in Canaries.Microorganisms · 2023Article
- Network motifs shape distinct functioning of Earth's moisture recycling hubs.Nature communications · 2022Article
- Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops.Frontiers in genetics · 2022Article
- Permutation Entropy as a Universal Disorder Criterion: How Disorders at Different Scale Levels Are Manifestations of the Same Underlying Principle.Entropy (Basel, Switzerland) · 2021Article
- Context-Dependent Stability and Robustness of Genetic Toggle Switches with Leaky Promoters.Life (Basel, Switzerland) · 2021Article
- Cell-Free Characterization of Coherent Feed-Forward Loop-Based Synthetic Genetic Circuits.ACS synthetic biology · 2021Article
- Stability and Robustness of Unbalanced Genetic Toggle Switches in the Presence of Scarce Resources.Life (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Network motifs are significantly overrepresented subgraphs 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 organization. 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
Identifiers
What OpenQuestion holds
Registered trials
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.