2012
DOI: 10.1038/nnano.2012.222
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Diffusive transport phenomena in artificial enzyme cascades on scaffolds

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Cited by 31 publications
(43 citation statements)
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“…16). Idan and Hess1827 suggested that the aggregation of multiple enzyme pairs on a large scaffold can lead to throughput enhancement. The colocalization of enzymes does ensure the fast consumption of intermediate and prevent it escaping28, but the work presented by Fu et al 11.…”
Section: Resultsmentioning
confidence: 99%
“…16). Idan and Hess1827 suggested that the aggregation of multiple enzyme pairs on a large scaffold can lead to throughput enhancement. The colocalization of enzymes does ensure the fast consumption of intermediate and prevent it escaping28, but the work presented by Fu et al 11.…”
Section: Resultsmentioning
confidence: 99%
“…Our simulations also show that placing the two enzymes a few nanometers apart makes a negligible contribution to product formation on a time scale of seconds. 22 One of the explanations for the increase in throughput of scaffold systems observed in recent experiments is that engineered scaffolds often aggregate a large number of enzyme pairs due to their "ribbon" structure Initially, the reaction rate (black solid line) increases linearly and the product concentration (red dashed line) quadratically with time. On a time scale of hours, the system reaches a steady state and the reaction rate reaches the maximum reaction rate (here limited by the constant production rate of enzyme 1).…”
Section: Resultsmentioning
confidence: 99%
“…However, the chemical attachment of nucleotides to the proteins of interest is not feasible for cellular experiments, therefore, encodable methods must be utilized such as RNA aptamer- protein [49] or zinc finger-DNA [50] interactions. Aldaye and coworkers were able to colocalize proteins involved in hydrogen production in an organelle-like area inside the cell by engineering aptamer domains into the scaffold and fusing aptamer-binding proteins to the proteins of interest.…”
Section: Dna/rna Templated Reactionsmentioning
confidence: 99%