Multiply reconfigurable ‘plug and play’ molecular logic via self-assembly

Silva, A. Prasanna de; Dobbin, Catherine M.; Vance, Thomas P.; Wannalerse, Boontana

doi:10.1039/b822181b

Cited by 52 publications

(34 citation statements)

References 81 publications

(20 reference statements)

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“…Gate 23 can be distinguished by its fluorescence response to chemical stimuli as compared to YES and NOT gates. Such a molecular AND logic gate serves as an identification tag for small objects and can be applied to molecular computational identification (MCID) technique [67].…”

Section: Separate Inputsmentioning

confidence: 99%

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Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Silva

Uchiyama

2010

Luminescence Applied in Sensor Science

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The competition between Photoinduced electron transfer (PET) and other de-excitation pathways such as fluorescence and phosphorescence can be controlled within designed molecular structures. Depending on the particular design, the resulting optical output is thus a function of various inputs such as ion concentration and excitation light dose. Once digitized into binary code, these input-output patterns can be interpreted according to Boolean logic. The single-input logic types of YES and NOT cover simple sensors and the double- (or higher-) input logic types represent other gates such as AND and OR. The logic-based arithmetic processors such as half-adders and half-subtractors are also featured. Naturally, a principal application of the more complex gates is in multi-sensing contexts.

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Section: Separate Inputsmentioning

confidence: 99%

“…Just like compound 21 [64] was derived from the early AND gate 22 [60] by adding a micelle-anchoring unit, so was 23 [67] obtained by attaching a precursor of 22 to an amino-terminated polymer bead. Gate 23 can be distinguished by its fluorescence response to chemical stimuli as compared to YES and NOT gates.…”

Section: Separate Inputsmentioning

confidence: 99%

Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Silva

Uchiyama

2010

Luminescence Applied in Sensor Science

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“…Biomolecular systems have successfully tackled several computing problems, including the traveling salesman [1], 3-SAT [6], maximal clique [41], chess [17], and tic-tac-toe [49]. However, attempts to build a programmable molecular automaton, that is, an automaton with more than one (hard-wired) purpose, either failed or had limited scope and no reusability [4,11,42].…”

Section: Introductionmentioning

confidence: 99%

Online Learning in a Chemical Perceptron

Banda

Teuscher

Lakin³

2013

Artificial Life

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A version of this paper with color figures is available online at http://dx.doi.org/10.1162/ artl_a_00105. Subscription required.Abstract Autonomous learning implemented purely by means of a synthetic chemical system has not been previously realized. Learning promotes reusability and minimizes the system design to simple input-output specification. In this article we introduce a chemical perceptron, the first full-featured implementation of a perceptron in an artificial (simulated) chemistry. A perceptron is the simplest system capable of learning, inspired by the functioning of a biological neuron. Our artificial chemistry is deterministic and discrete-time, and follows Michaelis-Menten kinetics. We present two models, the weight-loop perceptron and the weight-race perceptron, which represent two possible strategies for a chemical implementation of linear integration and threshold. Both chemical perceptrons can successfully identify all 14 linearly separable two-input logic functions and maintain high robustness against rate-constant perturbations. We suggest that DNA strand displacement could, in principle, provide an implementation substrate for our model, allowing the chemical perceptron to perform reusable, programmable, and adaptable wet biochemical computing.

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“…The implementation of logic gates and combinational circuits on a single molecular system is a field of intense activity [24][25][26][27][28]. Molecular realizations of simple binary gates and complex logic circuits relies on chemical [29,30], photochemical [31][32][33][34][35]36], optical [37][38][39][40], electrical [41][42][43][44] and electrochemical [45,46] addressing at the molecular scale.…”

mentioning

confidence: 99%

Bonding patterns of [Ag₂‐alanine]^0,± hybrid complexes and the implementation of molecular logic gates

Zhang

Periyasamy

Remacle

2010

Int J of Quantum Chemistry

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A structural and energetic computational analysis of various conformers of positive, neutral and negatively charged hybrid [Ag 2 -alanine] 0,6 complexes is reported using density functional theory. We show that the overall charge on the hybrid complexes influence the silver coordination mode. The positively charged cluster forms stable conformers via chelate bonds between the carboxylic group and silver dimer while the neutral cluster exhibits covalent bonding between silver and the amine nitrogen. In negatively charged clusters, bonding occurs via a weaker Ag-hydrogen bond. Unary and binary logic gates NOT, FAN-OUT, AND, NAND, OR, XOR and NOR are designed using the dependence of bonding patterns on the overall charge state of the cluster. The outputs can be read using an IR readout protocol or electrostatic potential charge distributions.

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Multiply reconfigurable ‘plug and play’ molecular logic via self-assembly

Cited by 52 publications

References 81 publications

Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Online Learning in a Chemical Perceptron

Bonding patterns of [Ag₂‐alanine]^0,± hybrid complexes and the implementation of molecular logic gates

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Multiply reconfigurable ‘plug and play’ molecular logic via self-assembly

Cited by 52 publications

References 81 publications

Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Molecular Logic Gates and Luminescent Sensors Based on Photoinduced Electron Transfer

Online Learning in a Chemical Perceptron

Bonding patterns of [Ag2‐alanine]0,± hybrid complexes and the implementation of molecular logic gates

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Bonding patterns of [Ag₂‐alanine]^0,± hybrid complexes and the implementation of molecular logic gates