Aug 2026· Biotechnology and Bioengineering· 0 citations· 29 references
Medicine
TL;DR
This Perspective, it is argued that forcing living biology to mimic nonliving silicon machinery is neither biologically rational nor practically aspirational, and the true paradigm of cellular programming and engineering lies in steering biological complexity under predictable rules to achieve capabilities that neither wild cells nor digital computers can fulfill alone.
Abstract
Since its inception, synthetic biology has relied on linear genetic modifications to treat living cells as biological counterparts to silicon microchips and computer-aided manufacturing. This paradigm is deeply rooted in the historical frameworks of Turing, Boole, and von Neumann, whose theoretical models remarkably anticipated the computational nature of the central dogma and native genetic operons. However, forcing living cells to strictly conform to the rigid, deterministic constraints of human software ignores a fundamental architectural disconnect: the dynamic, stochastic reality of the cellular cytoplasm and the higher-order 3D organization of the genome, which frequently lead to context-dependent circuit failures. In this Perspective, I argue that forcing living biology to mimic nonliving silicon machinery is neither biologically rational nor practically aspirational. Instead, the true paradigm of cellular programming and engineering lies in steering biological complexity under predictable rules to achieve capabilities that neither wild cells nor digital computers can fulfill alone-such as cancer-destroying circuits, explosive-detecting plants, and inflammation-recording probiotics. Crucially, this programmable oversight can be reinforced by constructing bio-physical hybrid entities that integrate nonliving materials with living cells. This is already manifested in interfacing organisms with semiconductor shells, silicon nanowires, or intracellular polymer hydrogels to create "cyborg cells" with augmented metabolic or synthetic functions. Ultimately, the future of engineering biology relies on treating life's fluid, dynamic architecture not as a design defect, but as a core computational asset. Aligned with this quest to optimize cell programming and engineering, biosafety approaches like biocontainment must be implemented to mitigate the environmental and ethical risks associated with deploying engineered organisms into ecosystems or human hosts.
Synthetic cells are shifting biology from the observation and modification of existing life toward the deliberate construction of cell-like systems. The term, however, includes two biologically different entities: bottom-up protocells assembled from nonliving molecular components and top-down cells whose natural genome...
George B. Stefano· Microbes & Immunity· 0 citations
The question of whether biological systems implement computation-like processes is central to synthetic biology and theoretical biophysics. This paper proposes a formal conceptual framework in which two well-characterized molecular mechanisms-transposable elements ("jumping genes") and chaperone-mediated protein foldin...
Synthetic biologists aim for standardization and simplicity in order to ensure reproducibility and reliability. Toolkits offer both, making it easier to share DNA sequences between labs while minimizing context dependent effects from sequences surrounding the construct of interest. The Yeast Toolkit (YTK) for the model...
Maik Molderings, Erik Kubaczka, Heinz Koeppl· bioRxiv· 0 citations
Inheritance is central to life, but its first chemical basis may have preceded the complex molecules that store genetic information in modern organisms. Molecules in autocatalytic chemical networks facilitate the formation of more instances of the same molecules. They have long been proposed as simpler candidates for p...
Alexa Iván, András Szilágyi, E. Szathmáry· Proceedings of the National...· 0 citations
Cells make decisions through densely interconnected regulatory networks that compute graded, analog responses[1, 2]. Synthetic biology has made cells programmable, but the field’s dominant abstractions poorly match the analog nature of cells. Designing analog circuits that work in cells is challenging: predicting how c...
Jean Disset, Charles Van De Mark, Georg K. A. Wachter et al.· bioRxiv· 0 citations
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