Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 1, 2025Molecular Systems BiologyOpen Access

A tool for modeling gene regulatory networks (GRNₘodeler) and its applications to synthetic biology

View Full Paper
Ask AI
Bookmark
Share

Authors

GHGábor HollóJPJung Hun ParkEBErica Boni

Discussion

Loading...

Member takes

Overview

Developed a user-friendly tool enabling direct modeling of gene regulatory networks in synthetic biology, suggesting enhanced design capabilities.

Key Points

  • GRN_modeler enables non-experts to create models of gene regulatory networks easily, enhancing accessibility.
  • The tool supports analysis of dynamic behaviors and spatial patterns, crucial for synthetic biology applications.
  • Examples include robust oscillator families and a light-detecting biosensor in Escherichia coli, showcasing versatility.
  • By simplifying GRN simulations, GRN_modeler may boost innovative design and control in synthetic biology projects.

Cite This Study

Holló et al. (2025) studied this question.

synapsesocial.com/papers/68dd7e92fe798ba2fc496cb4https://doi.org/10.1038/s44320-025-00148-8
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Gene regulatory network structure informs the distribution of perturbation effects2025
  2. 2GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models2025
  3. 3Causal single-cell RNA-seq simulation, in silico perturbation, and GRN inference benchmarking using GRouNdGAN-Toolkit2025
  4. 4AutoGRN: An Automated Graph Neural Network Framework for Gene Regulatory Network Inference2025
  5. 5MultiGRNFormer: A Transformer-Based Multi-Omics GRN Inference Framework2025