Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling (Virtual Tissues) in CompuCell3D to predict developmental toxicity: https://t.co/mJqo6TIBQb #Toxicology, #CC3D, #CompuCell3D, #Development, #BirthDefects
A computational dynamic systems model for prediction of neural tube closure defects.
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Feb 2025 – Aug 2025Where it's discussed
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X / Twitter2 posts
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YouTube1 videos
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What people are saying
Discussions express strong interest in the model's capacity to simulate complex biological processes, with phrases like 'Beautiful integration' and references to 'predict development toxicity'. The tone suggests optimism about its application in genetics and developmental biology, reflecting both curiosity and recognition of potential advancements.
The discussions highlight a positive perception of the model's integration capabilities, indicating general agreement on its potential value.
Posts show high interest, especially with mentions of predictive modeling, development, and toxicity, demonstrating enthusiasm and curiosity.
Comments elaborate on the modeling processes and applications, reflecting a moderate level of thoughtful engagement.
Participants acknowledge the significance of the research for understanding developmental defects and improving toxicity testing, suggesting a noteworthy impact.
Abstract in brief
- The study presents a computational agent-based model that simulates the biological processes involved in neural tube closure, which is essential for proper early vertebrate development.
- This model can incorporate genetic and chemical perturbations to predict the likelihood and severity of neural tube defects, such as spina bifida, by analyzing how signals and cellular behaviors are affected.
- The model has potential applications in understanding the mechanisms behind these defects and in assessing developmental toxicity without relying on animal testing, providing insights into gene-environment interactions related to neurological development.
Top posts
Most liked on X and BlueskyRT @JamesAGlazier1: Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling…
All mentions
Predicting Neural Tube Defects Using a Computational Virtual Embryo Model
This presentation discusses the development of a dynamic systems model to predict neural tube closure defects, utilizing a computational agent-based approach to simulate biological processes involved in early vertebrate…
RT @JamesAGlazier1: Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling…
Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling (Virtual Tissues) in CompuCell3D to predict developmental toxicity: https://t.co/mJqo6TIBQb #Toxicology, #CC3D, #CompuCell3D, #Development, #BirthDefects