2018
DOI: 10.1098/rsif.2018.0107
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Automated sequence-level analysis of kinetics and thermodynamics for domain-level DNA strand-displacement systems

Abstract: As an engineering material, DNA is well suited for the construction of biochemical circuits and systems, because it is simple enough that its interactions can be rationally designed using Watson–Crick base pairing rules, yet the design space is remarkably rich. When designing DNA systems, this simplicity permits using functional sections of each strand, called domains, without considering particular nucleotide sequences. However, the actual sequences used may have interactions not predicted at the domain-level… Show more

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Cited by 14 publications
(14 citation statements)
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References 65 publications
(174 reference statements)
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“…Applying the estimated ks i and kr i in simulations, we predicted that the overall behavior of the loser-take-all circuit would bias toward identifying input X 2 as the smallest signal; this was indeed shown in experiments where output Z 2 turned ON the fastest when the concentration of X 2 was 0 (Figure a). It would be possible to reduce the difference in reaction rates by carefully redesigning the DNA sequences guided by sequence-level kinetics simulations, , but it would be challenging given the complexity of the circuit. We thus chose to explore the possibility of exploiting concentration adjustments to compensate for the rate differences.…”
Section: Resultsmentioning
confidence: 99%
“…Applying the estimated ks i and kr i in simulations, we predicted that the overall behavior of the loser-take-all circuit would bias toward identifying input X 2 as the smallest signal; this was indeed shown in experiments where output Z 2 turned ON the fastest when the concentration of X 2 was 0 (Figure a). It would be possible to reduce the difference in reaction rates by carefully redesigning the DNA sequences guided by sequence-level kinetics simulations, , but it would be challenging given the complexity of the circuit. We thus chose to explore the possibility of exploiting concentration adjustments to compensate for the rate differences.…”
Section: Resultsmentioning
confidence: 99%
“…Future development of a more sophisticated rate model may adjust for the expected time spent in a reaction pathway [41], may incorporate nucleotide sequence, temperature and buffer conditions, and may be optimized via systematic parameter inference to better match experimental measurements. Eventually, such a kinetic model can complement thermodynamic energy parameters [73], and provide deeper insights into fundamental principles of nucleic acid folding.…”
Section: Future Workmentioning
confidence: 99%
“…For example, the stochastic nucleic acid sequence-level reaction simulator Multistrand [40] is suitable for estimating the rate of individual strand displacement reactions, but it cannot cope with the massive state space of a complex multistranded DSD system. However, Peppercorn can be used as a preprocessing step to enumerate a domain-level reaction network, and then the individual reaction rates can be calculated using sequence-level simulators [41].…”
Section: Introductionmentioning
confidence: 99%
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“…32 Thus, the Nuskell system provides one of the most integrated systems for the creation of DNA-based molecular programs that are correct by construction. The Peppercorn reaction enumerator has also been used in KinDA, 33 a tool for sequence-level analysis of the thermodynamics and kinetics of DNA strand displacement systems that can automatically detect deviations from the domain-level abstraction. This is an important direction for future research, as understanding the limits of the domain-level abstraction is a pressing concern for designers of nucleic acid circuits.…”
mentioning
confidence: 99%