Researchers at the University of California San Diego have developed SMART (Spatial Modeling Algorithms for Reactions and Transport), a cutting-edge software package designed to simplify the study of cell-signaling networks. These complex systems of molecular interactions are crucial for understanding how cells respond to environmental cues, yet their intricate nature and the influence of three-dimensional cellular structures make them challenging to simulate with existing tools.

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SMART addresses this challenge by providing a realistic, flexible, and efficient platform for modeling these networks, with potential applications spanning systems biology, pharmacology, and biomedical engineering.

The software has been successfully tested across various biological systems and scales, including:

• Cell signaling triggered by adhesive cues.
• Calcium release events in neurons and cardiac muscle cells.
• ATP production within a detailed model of a single mitochondrion.

By enabling more accurate and detailed simulations, SMART promises to advance our understanding of cellular behavior and drive innovations in developing treatments for human diseases.

This breakthrough, published in Nature Computational Science, was led by Emmet Francis, Ph.D., an American Society for Engineering Education postdoctoral fellow, and supervised by Professor Padmini Rangamani, Ph.D., from UC San Diego's School of Medicine and Jacobs School of Engineering. The software's initial version was developed by Justin Laughlin, Ph.D., a former graduate student in Rangamani's research group.

SMART stands poised to transform the field of life sciences, accelerating research and uncovering new possibilities in understanding cellular processes and developing innovative therapies.