Genetic Code Modelling from the Perspective of Quantum Informatics

This paper’s aim is to show the possibilities of modelling the information content carried by quantum mechanical DNA molecules by means of the formalism used in quantum informatics. Such modelling would open new options to reveal nature’s information patents and to use them, for instance, in quantum computing and artificial intelligence (A.I.). Moreover, it would give an opportunity of understanding the ways of managing information in living organisms. As an empirical base, the open accessible data from GenBank which contains hundreds of millions of long DNA texts collected from thousands of organisms can be used.

[1]  K. Kraljić,et al.  Genetic Code Analysis Toolkit: A novel tool to explore the coding properties of the genetic code and DNA sequences , 2018, SoftwareX.

[2]  Lutz Strüngmann,et al.  On dichotomic classes and bijections of the genetic code. , 2013, Journal of theoretical biology.

[3]  Sergey V. Petoukhov The system-resonance approach in modeling genetic structures , 2016, Biosyst..

[4]  Lutz Strüngmann,et al.  Exploring Structure and Evolution of the Genetic Code with the Software Tool GCAT , 2017 .

[5]  Lutz Strüngmann,et al.  n-Nucleotide circular codes in graph theory , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[6]  R. Paton,et al.  Is there a biology of quantum information? , 2000, Bio Systems.

[7]  Jacob biamonte,et al.  Quantum machine learning , 2016, Nature.

[8]  Lutz Strüngmann,et al.  Diletter circular codes over finite alphabets. , 2017, Mathematical biosciences.

[9]  Sergey Petoukhov,et al.  New Symmetries and Fractal-Like Structures in the Genetic Coding System , 2018 .

[10]  Apoorva Patel Quantum algorithms and the genetic code , 2001 .

[11]  Matthew He,et al.  Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications , 2009 .

[12]  Mohammed Abo-Zahhad,et al.  Genomic Analysis and Classification of Exon and Intron Sequences Using DNA Numerical Mapping Techniques , 2012 .

[13]  Lutz Strüngmann,et al.  Mathematical fundamentals for the noise immunity of the genetic code , 2017, Biosyst..

[14]  I. Chuang,et al.  Quantum Computation and Quantum Information: Introduction to the Tenth Anniversary Edition , 2010 .

[15]  Lutz Strüngmann,et al.  On models of the genetic code generated by binary dichotomic algorithms , 2015, Biosyst..

[16]  J. Meher,et al.  Wavelet Based Lossless DNA Sequence Compression for Faster Detection of Eukaryotic Protein Coding Regions , 2012 .

[17]  F. Crick,et al.  Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid , 1953, Nature.

[18]  S. Petoukhov The rules of long DNA-sequences and tetra-groups of oligonucleotides , 2017, 1709.04943.

[19]  Ioannis Karafyllidis Quantum mechanical model for information transfer from DNA to protein , 2008, Biosyst..

[20]  Lutz Strüngmann,et al.  Circular codes, symmetries and transformations , 2015, Journal of mathematical biology.

[21]  Sergey V. Petoukhov,et al.  Genetic coding and united-hypercomplex systems in the models of algebraic biology , 2017, Biosyst..

[22]  Lutz Strüngmann,et al.  Codon Distribution in Error-Detecting Circular Codes , 2016, Life.

[23]  Syed Mahamud Hossein,et al.  A Compression & Encryption Algorithm on DNA Sequences Using Dynamic Look up Table and Modified Huffman Techniques , 2013 .

[24]  Lutz Strüngmann,et al.  Strong Comma-Free Codes in Genetic Information , 2017, Bulletin of mathematical biology.