Curr Res Toxicol December 2024 PMID 40034255

A computational dynamic systems model for prediction of neural tube closure defects.

Job H Berkhout, James A Glazier, Aldert H Piersma, Julio M Belmonte, Juliette Legler, Richard M Spencer, Thomas B Knudsen, Harm J Heusinkveld

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Mentions

3
Peak: 2 in Feb 2025
across 2 sources since Feb 2025

Extended reach

835
potential audience

Total likes

4

Video views

68

Mentions per month

Feb 2025 – Aug 2025

Where it's discussed

  • X / Twitter2 posts
  • YouTube1 videos

AI synopsis

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.

AgreementModerate agreement

The discussions highlight a positive perception of the model's integration capabilities, indicating general agreement on its potential value.

InterestHigh interest

Posts show high interest, especially with mentions of predictive modeling, development, and toxicity, demonstrating enthusiasm and curiosity.

EngagementModerate engagement

Comments elaborate on the modeling processes and applications, reflecting a moderate level of thoughtful engagement.

ImpactModerate impact

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 Bluesky
James A. Glazier
@JamesAGlazier1 · X

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

Feb 12, 2025 · 3 likes · 1 share · 292 followers View post →
Furkan Kurtoglu
@FKurtogluSysBio · X

RT @JamesAGlazier1: Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling…

Feb 12, 2025 · 1 share · 472 followers View post →

All mentions

Furkan Kurtoglu
@FKurtogluSysBio · X

RT @JamesAGlazier1: Beautiful integration of detailed signaling and gene regulatory network models with multicellular agent-based modeling…

Feb 12, 2025 · 1 share · 472 followers View post →
James A. Glazier
@JamesAGlazier1 · X

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

Feb 12, 2025 · 3 likes · 1 share · 292 followers View post →