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Development of a support tool for multi-agent based biological modeling.

Toshiro Kawazu¹, Shinsuke Odai, Noriko Shibuya

¹Graduate Sch. of Eng. Sci., Osaka Univ. kawazu@bpe.es.osaka-u.ac.jp

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|October 20, 2007

Summary

Developing a new software tool simplifies complex physiomic modeling by defining modular data structures. This approach reduces the labor involved in creating large-scale biological models for multi-scale applications.

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Area of Science:

Computational Biology
Systems Biology
Biophysics

Background:

Physiomic modeling of biological organisms is advancing rapidly.
Developing large-scale, complex biological models is labor-intensive.
A need exists for tools to streamline biological model development.

Purpose of the Study:

To develop a software tool that reduces the burden on developers creating physiomic models.
To define a data structure for describing modular components of biological organisms.
To design base classes representing this data structure for model construction.

Main Methods:

Defined a data structure for biological organism modules (structure and function).
Designed base classes to represent the defined data structure.
Constructed models by connecting modules representing base class functions.
Applied the tool to cardiac cell and single ionic channel models.

Main Results:

The software tool facilitates the creation of modular biological models.
Demonstrated the tool's utility and effectiveness in multi-scale modeling.
Successfully applied the tool to specific biological systems (cardiac cell, ionic channel).

Conclusions:

The developed software tool effectively reduces the effort required for physiomic model development.
The modular approach is suitable for multi-scale biological modeling.
The tool shows promise for accelerating research in computational biology.