This paper explores the application of Systems Modeling Language (SysML) as a formal architecture modeling technique [1] to modularize Synthetic Biology research and development (R&D) processes across different organizations. By capturing and specifying interfaces between Synthetic Biology subprocesses or "operations," the proposed approach aims to enhance collaboration, accelerate innovation, and increase robustness in Synthetic Biology endeavors. The paper showcases how modularization can be integrated within a Systems Engineering framework and provides sample diagrams and data structures to illustrate how Systems Engineering can promote systems integration of modular Synthetic Biology processes. This work has significant implications for the field of Synthetic Biology, particularly for reshaping how R&D projects can be conducted and the organization of its nascent industry. Establishment of a connected ecosystem with a purpose-built vocabulary and exchange language can lead to a more open, competitive, and efficient marketplace for Synthetic Biology R&D services and goods, paving the way for a more successful and profitable Synthetic Biology industry.
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Hancock et al. (2024) studied this question.
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