Paper
12 October 2006 Enzyme optimization for next level molecular computing
Piotr Wąsiewicz, Michal Malinowski, Andrzej Plucienniczak
Author Affiliations +
Proceedings Volume 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006; 63472D (2006) https://doi.org/10.1117/12.714673
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 2006, Wilga, Poland
Abstract
The main concept of molecular computing depends on DNA self-assembly abilities and on modifying DNA with the help of enzymes during genetic operations. In the typical DNA computing a sequence of operations executed on DNA strings in parallel is called an algorithm, which is also determined by a model of DNA strings. This methodology is similar to the soft hardware specialized architecture driven here by heating, cooling and enzymes, especially polymerases used for copying strings. As it is described in this paper the polymerase Taq properties are changed by modifying its DNA sequence in such a way that polymerase side activities together with peptide chains, responsible for destroying amplified strings, are cut off. Thus, it introduces the next level of molecular computing. The genetic operation execution succession and the given molecule model with designed nucleotide sequences produce computation results and additionally they modify enzymes, which directly influence on the computation process. The information flow begins to circulate. Additionally, such optimized enzymes are more suitable for nanoconstruction, because they have only desired characteristics. The experiment was proposed to confirm the possibilities of the suggested implementation.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piotr Wąsiewicz, Michal Malinowski, and Andrzej Plucienniczak "Enzyme optimization for next level molecular computing", Proc. SPIE 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 63472D (12 October 2006); https://doi.org/10.1117/12.714673
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KEYWORDS
Polymers

Molecules

Data processing

Molecular self-assembly

Genetics

Molecular machines

Proteins

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