On the multiple explicit exact solutions to the double‐chain DNA dynamical system

• Published in: Mathematical methods in the applied sciences Vol. 46; no. 6; pp. 6309 - 6323
• Main Authors: Younas, Usman, Ren, Jingli, Akinyemi, Lanre, Rezazadeh, Hadi
• Format: Journal Article
• Language: English
• Published: Freiburg Wiley Subscription Services, Inc 01.04.2023
• Subjects: Chains; Deoxyribonucleic acid; DNA; double‐chain model of DNA; Dynamical systems; Exact solutions; explicit solutions; Exponential functions; Hydrogen bonds; Hyperbolic functions; longitudinal and transversal motions; Mathematical models; NAEM; Nonlinear dynamics; Norms; Parameters; ShGEEM; Solitary waves; Springs (elastic)
• DOI: 10.1002/mma.8904
• ISSN: 0170-4214

The nonlinear dynamics of deoxyribonucleic acid (DNA) is the subject of this research. For an organism to flourish and reproduce, it needs the genetic information that is contained in its DNA. In the DNA molecule, the hydrogen bonds between the base pairs of the two polynucleotide chains are represented by an elastic membrane (or a series of linear springs) that connects the model's two long elastic homogeneous strands (or rods). Using two integration norms, namely, the new auxiliary equation method (NAEM) and the extended sinh‐Gordon equation expansion method (ShGEEM), we obtain a variety of nonlinear dynamical solitary wave structures in various shapes, including hyperbolic, trigonometric, and exponential function solutions, as well as some unique solitary wave solutions, including bell‐shaped, kink, singular, combined, and multiple solitons. Using the logarithmic transformation assistant, we examine a variety of wave structures and recover singular periodic wave solutions with unknown parameters, along with the validity constraints. According to the results, the governing model contains an unusually large number of theoretically exact solitary wave solutions. The physical characterization of some of the presented results can be visualized in 3D and 2D profiles by selecting the appropriate parameter values.