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Modeling an Enzyme Active Site using Molecular Visualization Freeware

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Published on: December 25, 2021

Biocharts: a visual formalism for complex biological systems.

Hillel Kugler¹, Antti Larjo, David Harel

¹Computational Biology Group, Microsoft Research, Cambridge, UK. hkugler@microsoft.com

Journal of the Royal Society, Interface

|December 22, 2009

Summary

We introduce Biocharts, a visual language for modeling complex biological systems by integrating intercellular and intracellular information. This approach aids biologists in creating executable models of biological networks and pathways.

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Area of Science:

Systems Biology
Computational Biology
Bioinformatics

Background:

Complex biological systems involve vast, growing datasets, making analysis difficult with current methods.
Linking high-level (intercellular) and low-level (intracellular) information is a key challenge in biological modeling.
Existing tools often struggle to represent the intricate nature of biological networks and pathways.

Purpose of the Study:

To develop a novel visual language for modeling complex biological systems.
To facilitate the integration of intercellular and intracellular information in biological models.
To enable biologists to actively participate in computational modeling efforts.

Main Methods:

Proposal of a two-tier compound visual language named Biocharts.
Utilizing statecharts for high-level modeling of biological system dynamics.
Combining statecharts with diagrammatic languages for specifying low-level pathway and network dynamics.

Main Results:

Demonstration of Biocharts' utility in modeling complex biological processes.
Successful integration of high-level and low-level information within a unified modeling framework.
Illustration of the approach using bacterial chemotaxis.

Conclusions:

Biocharts provides an effective framework for building executable models of biological systems.
The language simplifies the integration of multi-scale biological data for improved analysis.
The approach empowers biologists with intuitive tools for computational modeling.