Reconfiguring the Challenge of Biological Complexity as a Resource for Biodesign

Szymanski, Erika; Henriksen, James R.

doi:10.1128/msphere.00547-22

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…Directed evolution is also a bottom-up approach for accelerating the development of protein biosensors. Directed evolution has been demonstrated to achieve the desired molecular phenotype based on the collaboration between design choices and the proteins' evolved nature, limiting the design decisions and introducing significant random chance into the development process, as opposed to rational design in which computational algorithms make pointed choices about specific variants to test [231,232]. Frances Arnold won the Nobel Prize in Chemistry for successfully using directed evolution to obtain a better version of an enzyme.…”

Section: Evolution-guided Engineeringmentioning

confidence: 99%

State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

Chaisupa,

Wright

2023

Preprint

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Genetically encoded biosensors are crucial for enhancing our understanding of how molecules regulate biological systems. Small molecule biosensors, in particular, help us understand the interaction between chemicals and biological processes. They also accelerate metabolic engineering by increasing screening throughput and eliminating the need for sample preparation through traditional chemical analysis. Additionally, they offer significantly higher spatial and temporal resolution in cellular analyte measurements. In this review, we discuss recent progress in in vivo biosensors and control systems—biosensor-based controllers—in metabolic engineering. We also explore specifically protein-based biosensors that utilize less commonly exploited signaling mechanisms, such as protein stability and induced degradation, compared to more prevalent transcription factor and allosteric regulation mechanism. We proposed that these lesser-used mechanisms will be significant for engineering eukaryotic systems and slower-growing prokaryotic systems where protein turnover may facilitate more rapid and reliable measurement and regulation of the current cellular state. Lastly, we emphasize the utilization of cutting-edge and state-of-the-art techniques in the development of protein-based biosensors, achieved through rational design, directed evolution, and collaborative approaches.

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Section: Evolution-guided Engineeringmentioning

confidence: 99%

State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

Chaisupa,

Wright

2023

Preprint

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State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

Chaisupa,

Wright

2024

SLAS Technology

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Theory and design in the biotechnical age: A schematic understanding of Bio Design and Synthetic Biology practice

Dade-Robertson,

Zhang

2024

The Design Journal

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Reconfiguring the Challenge of Biological Complexity as a Resource for Biodesign

Abstract: Biological complexity is widely seen as the central, intractable challenge of engineering biology. Yet this challenge has been constructed through the field’s dominant metaphors.

Cited by 6 publications

References 26 publications

State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering

Theory and design in the biotechnical age: A schematic understanding of Bio Design and Synthetic Biology practice

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