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Toward computational systems biology

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Abstract

The development and successful application of high-throughput technologies are transforming biological research. The large quantities of data being generated by these technologies have led to the emergence of systems biology, which emphasizes large-scale, parallel characterization of biological systems and integration of fragmentary information into a coherent whole. Complementing the reductionist approach that has dominated biology for the last century, mathematical modeling is becoming a powerful tool to achieve an integrated understanding of complex biological systems and to guide experimental efforts of engineering biological systems for practical applications. Here I give an overview of current mainstream approaches in modeling biological systems, highlight specific applications of modeling in various settings, and point out future research opportunities and challenges.

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  1. Division of Chemistry and Chemical Engineering, California Institute of Technology, 91125, Pasadena, CA

    Lingchong You

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You, L. Toward computational systems biology. Cell Biochem Biophys 40, 167–184 (2004). https://doi.org/10.1385/CBB:40:2:167

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