The properties of probabilistic simple regular sticker system

A mathematical model for DNA computing using the recombination behavior of DNA molecules, known as a sticker system, has been introduced in 1998. In sticker system, the sticker operation is based on the Watson-Crick complementary feature of DNA molecules. The computation of sticker system starts fro...

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Bibliographic Details
Main Authors: Selvarajoo, Mathuri, Wan, Heng Fong, Sarmin, Nor Haniza, Turaev, Sherzod
Format: Article
Language:English
English
Published: American Institute of Physics 2015
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Online Access:http://irep.iium.edu.my/47357/1/SKSM22_24-26_Nov_2014_AIP_Conf_Proc_1682_%282015%29_-_Mathuri_002047_1-9.pdf
http://irep.iium.edu.my/47357/4/47357_The%20properties%20of%20probabilistic%20simple%20regular_Scopus.pdf
http://irep.iium.edu.my/47357/
http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4932456
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English
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Summary:A mathematical model for DNA computing using the recombination behavior of DNA molecules, known as a sticker system, has been introduced in 1998. In sticker system, the sticker operation is based on the Watson-Crick complementary feature of DNA molecules. The computation of sticker system starts from an incomplete double-stranded sequence. Then by iterative sticking operations, a complete double-stranded sequence is obtained. It is known that sticker systems with finite sets of axioms and sticker rule (including the simple regular sticker system) generate only regular languages. Hence, different types of restrictions have been considered to increase the computational power of the languages generated by the sticker systems. In this paper, we study the properties of probabilistic simple regular sticker systems. In this variant of sticker system, probabilities are associated with the axioms, and the probability of a generated string is computed by multiplying the probabilities of all occurrences of the initial strings. The language are selected according to some probabilistic requirements. We prove that the probabilistic enhancement increases the computational power of simple regular sticker systems.