Abstract
AbstractWe test the validity of a possible schematization of DNA structure and dynamics based on the Chern–Simons theory, that is a topological field theory mostly considered in the context of effective gravity theories. By means of the expectation value of the Wilson Loop, derived from this analogue gravity approach, we find the point-like curvature of genomic strings in KRAS human gene and COVID-19 sequences, correlating this curvature with the genetic mutations. The point-like curvature profile, obtained by means of the Chern–Simons currents, can be used to infer the position of the given mutations within the genetic string. Generally, mutations take place in the highest Chern–Simons current gradient locations and subsequent mutated sequences appear to have a smoother curvature than the initial ones, in agreement with a free energy minimization argument.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy
Reference76 articles.
1. P. Baldi, S. Branak, Bioinformatics, the Machine Learning Approach, 2nd edn. (The MIT Press, Cambridge (USA) - London (UK), 2001)
2. M. Waterman, Introduction to Computational Biology (Maps, Sequences and Genomes, Chapman Hall, 1995)
3. D. Gusfield, Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology (Cambridge University Press, Cambridge, 1997)
4. S. Vinga, J. Almeida, Alignment-free sequence comparison: a review. Bioinformatics 19(3), 513–523 (2003)
5. J.E. Phillips, V.G. Corces, Master weaver of the genome. Cell 137(7), 1194–211 (2009)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献