Quantum Information Theory and Quantum Mechanics-Based Biological Modeling and Biological Channel Capacity Calculation

Information Theory in Computational Biology: Where We Stand Today

“…Lastly, with recent advancements in quantum computations, Shannon’s classical information theory is paving the way for using quantum information theory with physics to further the understanding of biological systems. Active research is being pursued in many uses of quantum information theory, such as developing quantum biological channel models suitable for the study of quantum information transfer from DNA to proteins [ 208 ], quantum-mechanical modeling of spontaneous, induced, and adaptive mutations and their role in cancerous tumor developments [ 209 ] and using both classical and quantum error-correction coding in genetics and evolution [ 210 ]. We conjecture that information theory has a key role to play in many theoretical and application developments in these areas in the near future.…”

Progress in and Opportunities for Applying Information Theory to Computational Biology and Bioinformatics

“…Assessing human physiological and emotional states in more informative and accurate ways can be facilitated with Information Theory concepts, including mutual information [ 52 ]. Shannon’s classical Information Theory is being advanced toward the use of quantum Information Theory [ 37 ] for applications including studying quantum information transfer from DNA to proteins [ 53 ], quantum-mechanical modeling of mutations in cancer [ 54 ], and error-correction coding in genetics [ 55 ]. This editorial provides a brief overview of some key opportunities for advancing Computational Biology and Bioinformatics by applying Information Theory; a more comprehensive review of the progress and open challenges is available in [ 37 ].…”