BioModels' model of the year 2024

Area of Science:

• Systems Biology
• Computational Biology
• Biomedical Research

Background:

• Computational modeling is crucial for understanding complex biological systems across scales.
• The BioModels Model of the Year (MOY) competition highlights significant contributions to systems biology.
• Focus on early-career researchers, scientific impact, rigor, and reproducibility is key.

Purpose of the Study:

• To recognize outstanding computational modeling contributions in systems biology.
• To promote best practices in model dissemination, community standards, and FAIR principles.
• To present the four winning models from the MOY2024 competition.

Main Methods:

• Selection process for the MOY2024 competition.
• Curating and presenting award-winning models in the BioModels database.
• Evaluating submissions based on scientific impact, technical rigor, and reproducibility.

Main Results:

• Four diverse and impactful systems biology models were selected as winners.
• Winning models cover hepatocyte signaling, cardiac electrophysiology, intestinal dynamics, and cardiomyocyte modeling.
• All selected models adhere to community standards and FAIR principles.

Conclusions:

• The MOY2024 winners exemplify the power of computational modeling in advancing biological understanding.
• These models demonstrate significant scientific impact and translational potential in biomedical research.
• Reproducible and reusable systems biology models are essential for future scientific discovery.