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Computer simulation of biological systems. Current trends.

J R Lumb

    Molecular and Cellular Biochemistry
    |February 1, 1987
    PubMed
    Summary
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    Mathematical modeling of biological systems is advancing with supercomputers and microcomputers. New theories and methods enhance model accuracy for studying molecular structures and biochemical reactions.

    Area of Science:

    • Computational Biology
    • Systems Biology
    • Biophysics

    Background:

    • Mathematical models are crucial for understanding complex biological systems.
    • Advances in computing power are enabling more sophisticated biological simulations.
    • Existing modeling theories require refinement to better represent real biological systems.

    Purpose of the Study:

    • To review the current state of mathematical modeling in biology.
    • To explore the impact of advanced hardware on biological modeling.
    • To discuss the development of a theory of modeling for improved biological system representation.

    Main Methods:

    • Review of current literature on mathematical models of biological systems.
    • Discussion of deterministic and stochastic modeling approaches.

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  • Exploration of control theory and optimization methods in biological modeling.

    • Main Results:

    • Supercomputer hardware facilitates the construction of highly complex biological models.
    • Modern microcomputers are sufficient for numerous biological system simulations.
    • A developing theory of modeling aims to bridge the gap between models and real biological systems.

    Conclusions:

    • Mathematical modeling is an increasingly powerful tool in biological research.
    • Experimental biologists should consider integrating microcomputer-based modeling into their research.
    • The discussed models encompass molecular structure, experimental techniques, and biochemical reactions.