
The dynamics of transcription bubbles is modeled using a system of nonlinear differential equations, the one-soliton solutions of which (kinks), are interpreted as a mathematical images of transcription bubbles. These equations contain a lot of DNA dynamic parameters, including the moments of inertia of nitrous bases, distances between base pairs, distances from the centers of mass of bases to sugar-phosphate chains, rigidity of the sugar-phosphate backbone, and interactions between bases within pairs. However, estimates of the parameter values are often difficult, and it is not convenient or simple to operate with such multi-parameter systems. One of the ways to reduce the number of the DNA dynamic parameters is to transform the model equations to a dimensionless form. In this work, we construct a dimensionless DNA model and apply it to study transcription bubbles dynamics. We show that transformation to a dimensionless form really leads to a decrease in the number of the model parameters and really simplifies the analysis of model equations and their solutions.
Citation: Larisa A. Krasnobaeva, Ludmila V. Yakushevich. On the dimensionless model of the transcription bubble dynamics[J]. AIMS Biophysics, 2023, 10(2): 205-219. doi: 10.3934/biophy.2023013
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The dynamics of transcription bubbles is modeled using a system of nonlinear differential equations, the one-soliton solutions of which (kinks), are interpreted as a mathematical images of transcription bubbles. These equations contain a lot of DNA dynamic parameters, including the moments of inertia of nitrous bases, distances between base pairs, distances from the centers of mass of bases to sugar-phosphate chains, rigidity of the sugar-phosphate backbone, and interactions between bases within pairs. However, estimates of the parameter values are often difficult, and it is not convenient or simple to operate with such multi-parameter systems. One of the ways to reduce the number of the DNA dynamic parameters is to transform the model equations to a dimensionless form. In this work, we construct a dimensionless DNA model and apply it to study transcription bubbles dynamics. We show that transformation to a dimensionless form really leads to a decrease in the number of the model parameters and really simplifies the analysis of model equations and their solutions.
It is generally accepted that the transcription bubbles, which are small, locally untwisted regions (or distortions) of the double helix [1]–[4], are formed at the initial stage of the transcription and then move along the DNA molecule. On the other hand, the DNA molecule is considered by many researchers as a medium in which nonlinear conformational distortions (or solitary waves) can arise and propagate [5],[6]. This amazing property of DNA associates such a purely biological object as DNA with numerous nonlinear, mostly physical systems. Mathematically the movement of the nonlinear distortions are modeled by nonlinear differential equations, in particular, by the nonlinear sine-Gordon equation:
having, among others, one-soliton solutions (kinks) [7],[8]:
where
Beginning with the work of Englander et al. [9], kinks have been actively used to model nonlinear conformational distortions in DNA, of which transcription bubbles are a special case. Currently, to model the dynamics of transcription bubbles, different modifications of the Englander model are used. Usually, they consist of a system of nonlinear differential equations with kink-like solutions. These equations contain many DNA dynamic parameters, such as the moments of inertia of nitrous bases, the distances between base pairs, the distances from the centers of mass of bases to sugar-phosphate chains, the rigidity of the sugar-phosphate backbone and the coefficients characterizing interactions between bases within pairs. Taken together, the equations and their parameters constitute the so-called dimensional model.
To reduce the number of parameters, it is much more convenient and efficient to use a dimensionless analog of a dimensional model. It is believed that the dimensionless analog not only makes it possible to noticeably reduce the number of parameters, but it also significantly simplifies the analysis of equations and methods for finding their solutions. In addition, the results obtained within the dimensionless model are valid not only for DNA, but also for other similar nonlinear media.
In this work, we have constructed a dimensionless analog of the nonlinear differential equations simulating the dynamics of transcription bubbles. We show that carrying out the dimensionless procedure really leads to a decrease in the number of model parameters, as well as to justification of the validity of applying the perturbation theory and the McLaughlin-Scott method [10],[11] based on it, which greatly facilitates finding solutions to model equations, their analysis and understanding the nature of the motion of transcription bubbles.
Methods for reducing model equations to a dimensionless form are varied [12]–[15]. To simplify calculations, we limited ourselves to the case of homogeneous (synthetic) DNA. In this case, the desired analog can be obtained using a simple transformation from the variables z and t to the new variables ξ and τ:
which is accompanied by additional requirements for the transformation coefficients. We obtained dimensionless model equations, estimated their parameters, found one-soliton solutions (kinks) imitating transcription bubbles and justified the McLaughlin-Scott method, which made it possible to
calculate the dimensionless velocity of transcription bubbles and to plot their trajectories in the {ξ, τ} plane.
Let us consider a homogeneous case when one of the two polynucleotide chains contains only one type of nitrous bases, such as adenines, and the second chain contains only thymines (Figure 1).
In this case, more general model equations proposed in [16] to describe transcription bubbles dynamics take the following form:
Here
Equations (4)–(5) take into account only one type of internal DNA motion, namely, angular displacements of the nitrous bases, which is believed to make the main contribution to the opening base pairs and formation of the transcription babbles. An alternative opinion developed in [17] is that the transverse displacements are more important. The model taking into account only transverse displacements is known as a BP model. In general, a more accurate model imitating the formation dynamics of the transcription bubbles should include both the transverse and angular displacements of the bases, as well as their longitudinal displacements [18].
Despite the limitations of the homogeneous case, equations (4)–(5) contain a fairly large number of dynamic parameters. However, they are only a part of the vast and complex space of parameters used in DNA melting and deformation models [19]–[21]. Therefore, the question of finding methods to reduce the number of parameters seems to be very relevant.
Restricting themselves to the continuum approximation and taking into account the features of the distribution of interactions within the DNA molecule results in the following: the presence of «weak» hydrogen bonds between nitrous bases inside complementary pairs and «strong» valence interactions along the sugar-phosphate chains; equations (4)–(5) can be reduced (in the first approximation) to two independent equations:
Here
Homogeneous sequence type | I×10−44 (kg·m2) | K′×10−18 (N·m) | V×10−20 (J) | β×10−34 (J·s) | M0×10−22 (J) |
poly(A) | 7.61 | 2.35 | 2.09 | 4.25 | 3.12 |
poly(T) | 4.86 | 1.61 | 1.43 | 2.91 | 3.12 |
In a particular case, when the effects of dissipation and the action of a constant torsion moment are small (
Let us write Hamiltonians corresponding to equations (8)–(9):
and exact one-soliton solutions of equations (8)–(9) – kinks:
Here,
The 3D graphs of the two DNA kinks (12)–(13) are presented in Figure 2. They have a canonical kink-like shape, which has been observed in a variety of media, including the mechanical chains of coupled pendulums [24], optical media [25], the chains of Josephson junctions [26]–[29], crystals [30], superfluid media [27], the Earth's crust [31], ferromagnetic and antiferromagnetic materials [32],[33] and biological molecules [34]–[36].
Substituting equation (12) into equation (10) and equation (13) into equation (11), we find formulas for the kink total energies EA and ET:
where EA and ET are the the kink rest energies:
In the case of low velocities (
where
Homogeneous sequence type | d (nm) | E0×10−18 (J) | m×10−25 (kg) |
poly(A) | 3.61 | 1.77 | 2.48 |
poly(T) | 3.61 | 1.21 | 1.58 |
For the general case, when
However, unlike
Here,
Having determined the kink coordinates from the relations
Let us consider the transformation from variables z and t to new variables ξ and τ according to equation (3). To find the transformation coefficients σ and η, substitute equation (22) into equations (6) and (7), respectively:
Next, let us multiply and divide
and require the fulfillment of two conditions:
from which we find the transformation coefficients σ and η:
In the new variables, equations (26) and (27) take the following form:
where
It can be seen that the number of parameters in the first of the two dimensionless model equations has decreased from five to two. In the second equation, the number of parameters has not changed. Taking into account the fact that the torsion moment in both equations is the same, the total number of parameters became equal to six, which is less than the nine parameters of the dimensional model (6)–(7).
We estimated the values of the coefficients of dimensionless model equations (30)–(31) and presented them in Table 3.
Coefficients | Estimated values |
0.64 | |
0.68 | |
0.68 | |
0.01 | |
0.007 | |
0.01 |
Note that, in the case of dimensional
In the particular case when the effects of dissipation and external action are negligibly small equation (30) takes the form of the classical canonical sine-Gordon equation (1), which has no coefficients:
At the same time equation (31) retains all three coefficients:
Hamiltonians corresponding to equations (32) and (33) have the following form:
To obtain one-soliton solutions of equations (32), (33), we take dimensional solutions (11) and (12) and rewrite them with new variables:
Substituting the solutions into the Hamiltonians (34), (35) we find the total kink energies:
where
In the general case, when
where
In this work, we have constructed the dimensionless analog of the model simulating the dynamics of transcription bubbles and demonstrated the method of constructing in detail. As a basic dimensional model, we used a system of nonlinear differential equations proposed in [16], the one-soliton solutions of which (kinks) were interpreted as mathematical images of transcription bubbles. The main results, including equations of motion, kink-like solutions, kink rest energy, and total kink energy obtained for the dimensionless model, are presented in Table 4.
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |
For comparison, we present in Table 5, similar results obtained for the corresponding dimensional model.
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |
It can be seen that the dimensionless model has advantages over the dimensional one. Indeed, carrying out the procedure of transformation of the dimensional model to the dimensionless one leads to the decrease in the number of model parameters from 9 to 6. Moreover, in the framework of the dimensionless analog, it became obvious that the coefficients in the terms simulating the dissipation effects and the action of a constant torsion moment are really small, which proves the validity of the application of the perturbation theory and the method of McLaughlin and Scott.
It should be noted, however, that in order to simplify calculations and to present the procedure of transition to dimensionless form more clear, we limited ourselves to the case of homogeneous (synthetic) DNA. Obviously, the next step in the development of this direction can be the construction of a dimensionless analog for the case of inhomogeneous DNA. This will provide an answer to the question of whether the advantages of the dimensionless model will be preserved in the inhomogeneous case.
One more step could be the improvement if the dimensional model itself by removing the limitations and simplifications detailed in Section 2. Finally, one could consider the issue of DNA kinks being created by mutual DNA-DNA interactions, which were considered theoretically in [38],[39], and experimentally in [40].
[1] | Alberts B, Johnson A, Lewis J, et al. (2015) Molecular Biology of the Cell. New York: W.W. Norton Company. https://doi.org/10.1201/9781315735368 |
[2] | Severin ES Biochemistry, Moscow: GEOTAR–Media (2004). Available from: https://teacher.3dn.ru/Files/bio_med/severin_bioh.pdf |
[3] |
Makasheva KA, Endutkin AV, Zharkov DO (2019) Requirements for DNA bubble structure for efficient cleavage by helix-two-turn-helix DNA glycosylases. Mutagenesis 35: 119-128. https://doi.org/10.1093/mutage/gez047 ![]() |
[4] |
Hillebrand M, Kalosakas G, Bishop AR, et al. (2021) Bubble lifetimes in DNA gene promoters and their mutations affecting transcription. J Chem Phys 155: 095101. https://doi.org/10.1063/5.0060335 ![]() |
[5] |
Grinevich AA, Ryasik AA, Yakushevich LV (2015) Trajectories of DNA bubbles. Chaos, Soliton Fract 75: 62-75. https://doi.org/10.1016/j.chaos.2015.02.009 ![]() |
[6] |
Shikhovtsova ES, Nazarov VN (2016) Nonlinear longitudinal compression effect on dynamics of the transcription bubble in DNA. Biophys Chem 214–215: 47-53. https://doi.org/10.1016/j.bpc.2016.05.005 ![]() |
[7] |
Scott AC, Chu FYF, McLaughlin DW (1973) The soliton: a new concept in applied science. Proc IEEE 61: 1443-1483. https://doi:10.1109/proc.1973.9296 ![]() |
[8] |
Caudrey PJ, Eilbeck JC, Gibbon JD (1975) The sine-Gordon equation as a model classical field theory. Nuovo Cim B 25: 497-512. https://doi.org/10.1007/BF02724733 ![]() |
[9] |
Englander SW, Kallenbach NR, Heeger AJ, et al. (1980) Nature of the open state in long polynucleotide double helices: possibility of soliton excitations. Proc Natl Acad Sci USA 77: 7222-7226. https://doi:10.1073/pnas.77.12.7222 ![]() |
[10] |
McLaughlin DW, Scott AC (1978) Perturbation analysis of fluxon dynamics. Phys Rev A 18: 1652. https://doi.org/10.1103/PhysRevA.18.1652 ![]() |
[11] | McLaughlin DW, Scott AC (1978) A multisoliton perturbation theory. Solitons in Action. New York: Academic Press. https://doi.org/10.1016/B978-0-12-455580-8.50015-9 |
[12] | Zarubin S, Markelov GE (2013) Lectures on the foundations of mathematical modeling. Moscow: State Technical University named after N.E. Bauman. Available from: https://studfile.net/preview/1683378 |
[13] |
Rasmuson A, Andersson B, Olsson L, et al. (2014) Mathematical Modeling in Chemical Engineering. New York: United States of America by Cambridge University Press. https://doi.org/10.1002/cite.201590043 ![]() |
[14] |
Torain DS (2014) A dimensionless mathematical model. Am Rev Math Stat 2: 01-16. https://doi: 10.15640/arms.v2n2a1 ![]() |
[15] | Langtangen HP, Pederse GK (2016) Dimensions and units. Scaling of Differential Equations.Springer. https://doi.org/10.1007/978-3-319-32726-6_1 |
[16] |
Grinevich AA, Masulis IS, Yakushevich LV (2021) Mathematical modeling of transcription bubble behavior in the pPF1 plasmid and its modified versions: The link between the plasmid energy profile and the direction of transcription. Biophysics 66: 248-258. https://doi:10.1134/s000635092102007x ![]() |
[17] |
Peyrard M, Bishop AR (1989) Statistical mechanics of a nonlinear model for DNA denaturation. Phys Rev Lett 62: 2755-2758. https://doi: 10.1103/physrevlett.62.275 ![]() |
[18] |
Muto V, Scott AC, Christiansen PL (1989) Microwave and thermal generation of solitons in DNA. J Phys Colloques 50: 217-222. https://doi: 10.1051/jphyscol:1989333 ![]() |
[19] |
Frank-Kamenetskii MD, Lazurkin YS (1974) Conformational changes in DNA molecules. Annu Rev Biophys Bioeng 3: 127-150. https://doi: 10.1146/annurev.bb.03.060174.001015 ![]() |
[20] | Frank-Kamenetsky MD (1983) The Most Important Molecule of Life. Moscow: Nauka. |
[21] |
Frank-Kamenetsky MD, Vologodsky AV (1981) Topological aspects of the physics of polymers: The theory and its biophysical applications. Sov Phys Usp 24: 679. https://doi:10.1070/pu1981v024n08abeh004835 ![]() |
[22] | Yakushevich LV, Krasnobaeva LA, Shapovalov AV, et al. (2005) One- and two-soliton solutions of the sine-Gordon equation as applied to DNA. Biophysics 50: 450-455. |
[23] |
Yakushevich LV, Krasnobaeva LA (2016) Forced oscillations of DNA bases. Biophysics 61: 241-250. https://doi.org/10.1134/S000635091602024X ![]() |
[24] |
Scott AC (1969) A nonlinear Klein-Gordon equation. Am J Phys 37: 52-61. https://doi.org/10.1119/1.1975404 ![]() |
[25] | Taylor JR Optical Solitons: Theory and Experiment Cambridge (1991). Available from: https://assets.cambridge.org/97805214/05485/toc/9780521405485_toc.pdf |
[26] |
Kivshar YS, Malomed BA (1989) Dynamics of solitons in nearly integrable systems. Rev Mod Phys 61: 763-915. https://doi.org/10.1103/revmodphys.61.763 ![]() |
[27] |
Braun OM, Kivshar YS (1998) Nonlinear dynamics of the Frenkel-Kontorova model. Phys Rep 306: 1-108. https://doi.org/10.1016/S0370-1573(98)00029-5 ![]() |
[28] | Kulik IO (1967) Wave propagation in a Josephson tunnel junction in the presence of vortices and the electrodynamics of weak superconductivity. JETP 24: 1307-1317. Available from: http://jetp.ras.ru/cgi-bin/dn/e_024_06_1307.pdf |
[29] |
Malomed BA (1988) Interaction of a soliton with an impurity in the sine-Gordon model of a commensurate charge-density-wave system. J Phys C Solid State Phys 21: 5163-5181. http://doi:10.1088/0022-3719/21/29/013 ![]() |
[30] | Frenkel YI, Kontorova T (1939) On the theory of plastic deformation and twinning. Acad Sci USSR J Phys 1: 137-149. |
[31] | Gerus AI, Vikulin AV (2016) Rotational model of a block geoenvironment: mathematical aspects and numerical results. In: Materials of the regional scientific conference “Volcanism and related processes” dedicated to the Volcanologist's IViS FEB RAS, Petropavlovsk-Kamchatsky : 116-121. |
[32] |
Zharnitsky V, Mitkov I, Levi M (1998) Parametrically forced sine-Gordon equation and domain wall dynamics in ferromagnets. Phys Rev B 57: 5033-5035. https://doi.org/10.1103/PhysRevB.57.5033 ![]() |
[33] |
Zharnitsky V, Mitkov I, Gronbech-Jensen N (1998) π kinks in strongly ac driven sine-Gordon systems. Phys Rev E 58: 52-55. https://doi.org/10.48550/arXiv.patt-sol/9809011 ![]() |
[34] |
Scott AC (1985) Biological Solitons in: Dynamical Problems in Soliton Systems. Berlin, Heidelberg: Springer P. 224-235. https://doi.org/10.1007/978-3-662-02449-2_33 ![]() |
[35] |
Yakushevich LV (2004) Nonlinear physics of DNA. Weinheim: Wiley. Available from: http://ndl.ethernet.edu.et/bitstream/123456789/12866/1/Ludmila%20V.%20Yakushevich_.pdf ![]() |
[36] | Dauxois T, Peyrard M (2006) Physics of Solitons. Cambridge: Cambridge University Press. Available from: ttps://assets.cambridge.org/97805218/54214/frontmatter/9780521854214_frontmatter.pdf |
[37] |
Yakushevich LV, Krasnobaeva LA (2021) Ideas and methods of nonlinear mathematics and theoretical physics in DNA science: the McLaughlin-Scott equation and its application to study the DNA open state dynamics. Biophys Rev 13: 315-338. https://doi.org/10.1007/s12551-021-00801-0 ![]() |
[38] |
Kornyshev AA, Wynveen A (2004) Nonlinear effects in the torsional adjustment of interacting DNA. Phys Rev E 69: 041905. https://doi.org/10.1103/PhysRevE.69.041905 ![]() |
[39] |
Cherstvy AG, Kornyshev AA (2005) DNA melting in aggregates: impeded or facilitated?. J Phys Chem B 109: 13024-13029. https://doi.org/10.1021/jp051117i ![]() |
[40] |
Sebastiani F, Pietrini A, Longo M, et al. (2014) Melting of DNA nonoriented fibers: a wide-angle X-ray diffraction study. J Phys Chem B 118: 3785-3792. https://doi.org/10.1021/jp411096d ![]() |
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Homogeneous sequence type | I×10−44 (kg·m2) | K′×10−18 (N·m) | V×10−20 (J) | β×10−34 (J·s) | M0×10−22 (J) |
poly(A) | 7.61 | 2.35 | 2.09 | 4.25 | 3.12 |
poly(T) | 4.86 | 1.61 | 1.43 | 2.91 | 3.12 |
Homogeneous sequence type | d (nm) | E0×10−18 (J) | m×10−25 (kg) |
poly(A) | 3.61 | 1.77 | 2.48 |
poly(T) | 3.61 | 1.21 | 1.58 |
Coefficients | Estimated values |
0.64 | |
0.68 | |
0.68 | |
0.01 | |
0.007 | |
0.01 |
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |
Homogeneous sequence type | I×10−44 (kg·m2) | K′×10−18 (N·m) | V×10−20 (J) | β×10−34 (J·s) | M0×10−22 (J) |
poly(A) | 7.61 | 2.35 | 2.09 | 4.25 | 3.12 |
poly(T) | 4.86 | 1.61 | 1.43 | 2.91 | 3.12 |
Homogeneous sequence type | d (nm) | E0×10−18 (J) | m×10−25 (kg) |
poly(A) | 3.61 | 1.77 | 2.48 |
poly(T) | 3.61 | 1.21 | 1.58 |
Coefficients | Estimated values |
0.64 | |
0.68 | |
0.68 | |
0.01 | |
0.007 | |
0.01 |
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |
Parameters | Model characteristics | Kink movement in the poly(A) chain | Kink movement in the poly(T) chain |
Equations of motion | |||
Hamiltonian | |||
Kink-like solution | |||
Total energy | |||
Rest energy | |||
Equations of motion | |||
Kink-like solution | |||
Equation for kink velocity |