R. Weiss, G. E. Homsy, and T. F. Knight Jr. Toward in vivo digital circuits. In L. Landweber and E. Winfree, editors, Evolution as Computation (DIMACS Workshop), Natural Computing Series, pages 275--295. Springer-Verlag, 2001. Home/Search Document Details and Download
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....list of operations provided above is by no means exhaustive and new methods of manipulation are continuing to be developed. Likewise, although DNA is still the most commonly used biomolecule, a number of groups are investigating other possibilities such as RNA [5] 9] and protein based computing [14]. 2.3 Quantum Computing 2.3.1 History The idea of computation on a level where quantum effects become significant was first conceived by Richard Feynman [16] in 1982. Feynman observed that it would likely be difficult for current discrete deterministic machines to accurately simulate a quantum ....
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....so that polypeptide synthesis can start correctly at the AUG initiation codon. The a#nity of the ribosome s 30S subunit to the RBS that it binds determines the rate of translation. This translation rate is included in a biochemical reaction for modeling and simulating the inverter using BioSPICE[10, 9]. For a given input mRNA level, a reduction in the translation rate yields a lower input protein level, which pushes the entire transfer curve upward and outward. BioSPICE simulations serve as an abstract model to study the e#ects of changing reaction kinetics of specific genetic components in the ....
....into a functional one, and demonstrated the utility of genetic process engineering. This section describes further modifications to the repressor operator a#nity that yield additional improvements in the performance of the circuit. These modifications are also motivated by BioSPICE simulations[10, 9]. The simulations show how reductions in the binding cI ECFP P(LAC) P(lacIq) RBSII RBSII p15A ori T0 Term EYFP P3 P Lambda P(R O12) RBSII ColE1 ORI Figure 10: Genetic circuit to measure the transfer curve of cI # P (R O12) using lacI as driver. a#nity of the repressor to the ....
R. Weiss, G. Homsy, and T. F. Knight Jr. Toward in-vivo digital circuits. In Dimacs Workshop on Evolution as Computation, Princeton, NJ, January 1999.
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....is the essence of digital gates; it forms the basis for effectively rejecting small variations in the input signals that is, for attenuating the input noise. Figure 7 shows the inverter s dynamic behavior derived from numerical simulation of the actual chemical kinetics for suitable proteins (see [25]) Given the ability to implement inverters in cells, arbitrary logic gates can then be realized as combinations of inverters. For example, the NAND function can be implemented as two inverters that have different input repressors but the same output protein: the output will be produced unless ....
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R. Weiss, G. E. Homsy, and T. F. Knight Jr. Toward in vivo digital circuits. In L. Landweber and E. Winfree, editors, Evolution as Computation (DIMACS Workshop), Natural Computing Series, pages 275--295. Springer-Verlag, 2001.
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Ron Weiss, George Homsy, and Thomas Knight, Jr. Toward in-vivo digital circuits. In Dimacs Workshop on Evolution as Computation, 1999.
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R. Weiss, G. Homsy, and T. Knight. Toward in vivo digital circuits. In Dimacs Workshop on Evolution as Computation, Jan. 1999.
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