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Connections Between Long Genetic and Literary Texts. The Quantum-Algorithmic Modelling

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Advances in Computer Science for Engineering and Education II (ICCSEEA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 938))

Abstract

The article is devoted to a development of quantum biology as a known scientific direction, which can give new decisions for various fields of science and technology. More precisely, the article describes some deep analogies between the structural organisation of long DNA sequences and of long literary texts; in addition, applications of formalisms of quantum informatics for modeling phenomenological results are shown. The described results support thoughts of some authors that linguistic languages are a continuation of the genetic language and that formalisms of quantum informatics can be effectively used for modelling and understanding biological structures. The author believes that the further usage of the concepts and formalisms of quantum informatics in genetics and bioinformatics will lead to the development of quantum-algorithmic bioinformatics, achievements of which will be useful, in particular, for a creation of systems of artificial intelligence.

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Acknowledgment

Some results of this paper have been possible due to a long-term cooperation between Russian and Hungarian Academies of Sciences on the topic “Non-linear models and symmetrologic analysis in biomechanics, bioinformatics, and the theory of self-organizing systems”, where S.V. Petoukhov was a scientific chief from the Russian Academy of Sciences. The authors are grateful to G. Darvas, E. Fimmel, M. He, Z.B. Hu, I. Stepanyan and V. Svirin for their collaboration. Special thanks to the German Academic Exchange Service (DAAD) for providing the very useful internship for S.V. Petoukhov in autumn 2017 at the Institute of Mathematical Biology of the Mannheim University of Applied Sciences (Germany) where his host was Prof. E. Fimmel.

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Authors and Affiliations

  1. Mechanical Engineering Research Institute, Russian Academy of Sciences, M. Kharitonievsky pereulok, 4, Moscow, Russia

    Sergey V. Petoukhov

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  1. Sergey V. Petoukhov
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Correspondence to Sergey V. Petoukhov .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. “Igor Sikorsky Kiev Polytechnic Institute”, National Technical University of Ukraine, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Petoukhov, S.V. (2020). Connections Between Long Genetic and Literary Texts. The Quantum-Algorithmic Modelling. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-16621-2_50

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