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SCAMP: a general-purpose simulator and metabolic control analysis program

H M Sauro

    Computer Applications in the Biosciences : CABIOS
    |August 1, 1993
    PubMed
    Summary
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    SCAMP is a versatile simulator for metabolic and chemical networks, enabling rapid model building and simulation. This C-based tool supports diverse model types and offers extensive user-configurable features for detailed analysis.

    Area of Science:

    • Systems Biology
    • Computational Chemistry
    • Biochemical Engineering

    Background:

    • Metabolic and chemical network simulation is crucial for understanding complex biological and chemical processes.
    • Existing simulation tools may lack flexibility or ease of use for diverse modeling needs.

    Purpose of the Study:

    • To introduce SCAMP, a general-purpose simulator for metabolic and chemical networks.
    • To provide a flexible and user-friendly platform for building and simulating various types of models.

    Main Methods:

    • SCAMP utilizes a biochemical language for model description, supporting various pathway structures and kinetics.
    • The simulator can generate C code for standalone executables or run-time code for immediate interpretation.
    • It includes features like differential equation integration, compartment volume definition, and symbolic differentiation.

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    Main Results:

    • SCAMP facilitates the rapid construction and simulation of metabolic systems by novice and experienced users.
    • The simulator supports diverse model types beyond metabolic networks, including chemostat and ecological models.
    • It offers comprehensive access to simulation data, control analysis coefficients, and user-defined functions.

    Conclusions:

    • SCAMP provides a powerful, flexible, and portable simulation environment for metabolic and chemical networks.
    • Its user-friendly biochemical language and extensive features enhance accessibility and analytical capabilities.
    • The simulator's adaptability supports a wide range of scientific modeling applications.