MNSYSYDSSCAug 10, 2016

Computational Limitations of First-Order Repressor Systems

arXiv:1608.03047
Originality Incremental advance
AI Analysis

This establishes a fundamental limitation for synthetic biology, proving that first-order repressors cannot achieve scalable computation, which is critical for engineers designing modular logic components.

The paper proves that first-order repressor systems cannot support bistability, memory, or signal buffering, limiting their scalability for synthetic biology computation. It introduces a function G to measure signal quality and shows G always decreases in such systems.

Almost all current approaches for engineering modular logic components in synthetic biology use first-order regulators, including most CRISPR/CAS, TAL, zinc finger, and RNA interference systems. Many practitioners understand intuitively that second and higher order binding is necessary for scalability, and this is easy to show for single-input single-output systems. However, no study to date has analysed whether a more complex system, utilizing e.g. feedback or error correction, can produce scalable computation from first-order regulators. We prove here that first order repressor systems cannot support bistability. In the process, we introduce a function G to measure signal quality in molecular systems, and we show that G always decreases in dynamic feedback systems as well as static feed-forward logic cascades of first-order repressors. As a result, first order repressors cannot build memory or signal buffering elements. Finally, we suggest G as a potential new property for characterization of standard biological parts.

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