ArticleMolecular systems biology2026
LimbNET: collaborative platform for simulating spatial patterns of gene networks in limb development.
Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Advancing developmental biology in Central Europe: report from the V4SDB meeting 2025.Biology open · 2025Article
- A tool for modeling gene regulatory networks (GRN_modeler) and its applications to synthetic biology.Molecular systems biology · 2025Article
- WNT signaling coordinately controls mouse limb bud outgrowth and establishment of the digit-interdigit pattern.Development (Cambridge, England) · 2025Article
- Spatio-temporal reconstruction of gene expression patterns in developing mice.Development (Cambridge, England) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Successful computational modelling of complex biological phenomena will depend on the seamless sharing of models and hypotheses between researchers of all backgrounds-experimental and theoretical. LimbNET, a new online tool for modelling, simulating and visualising spatiotemporal patterning in limb development, aims to facilitate this process within the limb development community. LimbNET enables remote users to define and simulate arbitrary gene regulatory network (GRN) models of 2D spatiotemporal developmental patterning processes. Researchers can test and compare each others' hypotheses within a common framework. A database of previously created models empowers users to simulate, explore, and extend each others' work. Spatiotemporally varying gene expression intensities, derived from image-based data, are mapped into a standardised computational description of limb growth, integrated within our modelling framework. This enables direct comparison not only between datasets but between data and simulation outputs, closing the feedback loop between experiments and simulation via parameter optimisation. All functionality is accessible through a web browser ( https://limbnet.embl.es ), requiring no special software, and opening the field of image-driven modelling to the full scientific community.
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What Socratic 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 Socratic graph.