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American Journal of Engineering Research (AJER) 2019
American Journal of Engineering Research (AJER)
e-ISSN: 2320-0847 p-ISSN : 2320-0936
Volume-8, Issue-5, pp-42-44
www.ajer.org
Research Paper Open Access
w w w . a j e r . o r g
w w w . a j e r . o r g
Page 42
Translation of protein mRNA using coupled equation
Hernán Oscar Cortez Gutiérrez, Milton Milciades Cortez Gutiérrez, Alejandro
Flores Osorio,Gabriel ManesCangana, Alex Malpica Manzanilla
Universidad Nacional del Callao
Corresponding Author: Hernan Oscar Cortez Gutierrez
ABSTRACT We analyze translation models of RNA messenger concentration (m) to proteins (p). Using a
dynamic translation system of mRNA to proteins, the stationary or experimental solution was obtained. For a
set of parameters and ODE45 tool of the MATLAB the concentrations of mRNA and proteins were obtained.It
has been shown computationally that it has no periodic solutions because it has no closed orbits according to
the Poincare-Bendixson Theorem. It has been shown computationally that the solution is asymptotic to
stationary solution. Computational methods predict the production of proteins and that controls can be added to
this production.
KEYWORDS translation, genes, mRNA, proteins
---------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: 25-04-2019 Date of acceptance: 05-05-2019
--------------------------------------------------------------------------------------------------------------------------------------------
I. INTRODUCTION
This paper gives a solution for the protein-m RNA coupledequation. Generally we study the dynamics
of the DNA [1-3]. There are problems related to the functions of the gene and the mechanisms of gene
expression (1).The development patterns are explained with the theoretical and experimental models of coupled
oscillators (2).
The present study aims to describe in a computational simulation the dynamics of couplers coupled to
the messenger system of RNA and proteins. The stationary case is analyzed, which is equivalent to the
experimental case, usually in the cell medium. In general, the solutions for a set of parameters are determined
and they are observed as they behave as a station after a certain time. The metacognitive part is to implement
cancer control programs to prevent the proliferation of unwanted protein.
II. PROTEINS-MRNA
A system of differential equations was used to analyze the dynamics of mRNA concentration (m), and protein
concentration (p).
Vmpfm
UpLmp


)(
.
.
(1)
The constant L is the translation coefficient and U is the protein degradation coefficient.
U is the degradation coefficient of mRNA. The function f (p) is the transcription function. The classical method
of solving systems of differential equations is with Runge -Kutta fourth order method and is computationally
processed with the ODE tool 45 of the MATLAB program.
To determine the stationary solution, we have considered the set of parameters: L = U = V = 1 and the function f
(p) given by:
 f(p)=10/( 1+ p2
/25)
American Journal of Engineering Research (AJER) 2019
w w w . a j e r . o r g
w w w . a j e r . o r g
Page 43
The stationary solution was found by solving the system:
Vmpf
UpLm


)(0
0 (2)
.
III. POINCARE-BENDIXON THEOREM
There are no periodic solutions as indicated in Figure 1. A circuit that is not closed is shown. The
Poincare-Bendixson theorem guarantees the same result. Because the divergent of the associated field is
different from zero.
A concentration of m = p = 5 will be horizontal asymptote for dynamic solutions.
The system of coupled equations generates two solutions as indicated in figure 2. Figure 2 shows its final
vibration equal to 5.
Fig.1. mRNA-proteins
Fig.2. coupled solutions
The system (1) can be controlled in a computational manner depending on the set of parameters. These
results can be optimized by manipulating the constants L, U, V and the function f (p). The results of the
vibrations are also discussed in reference (1). Similar results with numerical methods with MATLAB are found
in Di Stefano's reference (3).
It can be analyzed with an optimal control theory and better control of proteins. Biologically it is based on
microRNAS controllers.
IV. CONCLUSION
There are no periodic solutions for the protein – mRNA coupled equation.
American Journal of Engineering Research (AJER) 2019
w w w . a j e r . o r g
w w w . a j e r . o r g
Page 44
REFERENCES
[1]. Cortez, H ;Cortez M; Drigo, E; Ruggiero, R. :Mobile breathers in a nonlinear model for DNA breathing. Ecletica Quimica Journal
(2017)
[2]. Cortez, H; Cortez, M: Thermodynamics of DNA with “hump” Morse potential. Ecletica Quimica Journal (2018)
[3]. Cortez, H.; Cortez, M.; Cortez, G; Cortez, L and Fuentes Rivera , D..: Dark breather using symmetric Morse , solvent and external
potentials for DNA breathing .Ecletica Quimica Journal (2018).
[4]. Di Stefano.: Dynamical SystemsBiology Modeling and Simulations. Elsevier(2013).
Hernan Oscar Cortez Gutierrez" Translation of protein mRNA using coupled equation" American Journal of
Engineering Research (AJER), vol.8, no.05, 2019, pp.42-44

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DIRECTOR hernan cortez

  • 1. American Journal of Engineering Research (AJER) 2019 American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN : 2320-0936 Volume-8, Issue-5, pp-42-44 www.ajer.org Research Paper Open Access w w w . a j e r . o r g w w w . a j e r . o r g Page 42 Translation of protein mRNA using coupled equation Hernán Oscar Cortez Gutiérrez, Milton Milciades Cortez Gutiérrez, Alejandro Flores Osorio,Gabriel ManesCangana, Alex Malpica Manzanilla Universidad Nacional del Callao Corresponding Author: Hernan Oscar Cortez Gutierrez ABSTRACT We analyze translation models of RNA messenger concentration (m) to proteins (p). Using a dynamic translation system of mRNA to proteins, the stationary or experimental solution was obtained. For a set of parameters and ODE45 tool of the MATLAB the concentrations of mRNA and proteins were obtained.It has been shown computationally that it has no periodic solutions because it has no closed orbits according to the Poincare-Bendixson Theorem. It has been shown computationally that the solution is asymptotic to stationary solution. Computational methods predict the production of proteins and that controls can be added to this production. KEYWORDS translation, genes, mRNA, proteins --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 25-04-2019 Date of acceptance: 05-05-2019 -------------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION This paper gives a solution for the protein-m RNA coupledequation. Generally we study the dynamics of the DNA [1-3]. There are problems related to the functions of the gene and the mechanisms of gene expression (1).The development patterns are explained with the theoretical and experimental models of coupled oscillators (2). The present study aims to describe in a computational simulation the dynamics of couplers coupled to the messenger system of RNA and proteins. The stationary case is analyzed, which is equivalent to the experimental case, usually in the cell medium. In general, the solutions for a set of parameters are determined and they are observed as they behave as a station after a certain time. The metacognitive part is to implement cancer control programs to prevent the proliferation of unwanted protein. II. PROTEINS-MRNA A system of differential equations was used to analyze the dynamics of mRNA concentration (m), and protein concentration (p). Vmpfm UpLmp   )( . . (1) The constant L is the translation coefficient and U is the protein degradation coefficient. U is the degradation coefficient of mRNA. The function f (p) is the transcription function. The classical method of solving systems of differential equations is with Runge -Kutta fourth order method and is computationally processed with the ODE tool 45 of the MATLAB program. To determine the stationary solution, we have considered the set of parameters: L = U = V = 1 and the function f (p) given by:  f(p)=10/( 1+ p2 /25)
  • 2. American Journal of Engineering Research (AJER) 2019 w w w . a j e r . o r g w w w . a j e r . o r g Page 43 The stationary solution was found by solving the system: Vmpf UpLm   )(0 0 (2) . III. POINCARE-BENDIXON THEOREM There are no periodic solutions as indicated in Figure 1. A circuit that is not closed is shown. The Poincare-Bendixson theorem guarantees the same result. Because the divergent of the associated field is different from zero. A concentration of m = p = 5 will be horizontal asymptote for dynamic solutions. The system of coupled equations generates two solutions as indicated in figure 2. Figure 2 shows its final vibration equal to 5. Fig.1. mRNA-proteins Fig.2. coupled solutions The system (1) can be controlled in a computational manner depending on the set of parameters. These results can be optimized by manipulating the constants L, U, V and the function f (p). The results of the vibrations are also discussed in reference (1). Similar results with numerical methods with MATLAB are found in Di Stefano's reference (3). It can be analyzed with an optimal control theory and better control of proteins. Biologically it is based on microRNAS controllers. IV. CONCLUSION There are no periodic solutions for the protein – mRNA coupled equation.
  • 3. American Journal of Engineering Research (AJER) 2019 w w w . a j e r . o r g w w w . a j e r . o r g Page 44 REFERENCES [1]. Cortez, H ;Cortez M; Drigo, E; Ruggiero, R. :Mobile breathers in a nonlinear model for DNA breathing. Ecletica Quimica Journal (2017) [2]. Cortez, H; Cortez, M: Thermodynamics of DNA with “hump” Morse potential. Ecletica Quimica Journal (2018) [3]. Cortez, H.; Cortez, M.; Cortez, G; Cortez, L and Fuentes Rivera , D..: Dark breather using symmetric Morse , solvent and external potentials for DNA breathing .Ecletica Quimica Journal (2018). [4]. Di Stefano.: Dynamical SystemsBiology Modeling and Simulations. Elsevier(2013). Hernan Oscar Cortez Gutierrez" Translation of protein mRNA using coupled equation" American Journal of Engineering Research (AJER), vol.8, no.05, 2019, pp.42-44