A Computational Model for Monitoring Glycolysis Process in Cancer Cells

Muhammad, M. Rashith; Devi, G. Poornima; Selvakumar, R.

doi:10.1166/jbic.2013.1055

Cited by 5 publications

(4 citation statements)

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“…Generally devices that are used to transform information from one form to another based on a definite procedure are called automata (Muhammad et al, 2013). It is a mathematical model of a system with distinct inputs and outputs.…”

Section: Automatamentioning

confidence: 99%

“…In a nondeterministic finite automaton, the state of acceptance is defined to accept the string of enzymes, and it attains the final state. If the machine cannot accept the string, this can be defined as the state of rejection (Muhammad et al, 2013).…”

Section: Computational Model Using Finite Automatamentioning

confidence: 99%

“…Selvakumar et al (2013) constructed a computational model for the extraction of human erythropoietin from the collection of proteins using a finite automaton. Muhammad et al (2013) designed a push-down automaton to monitor the glycolysis process in cancer cells.…”

Section: Introductionmentioning

confidence: 99%

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Computational regulatory model for detoxification of ammonia from urea cycle in liver

Ali¹,

Gurusamy²,

Ramachandran³

2014

Turk J Biol

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A nondeterministic finite automaton was designed to monitor enzymatic regulation and detoxification of excess ammonia in the urea cycle and its disorders. The designed machine is used for the diagnosis of deficiency and for regulating the expression of any of the enzymes involved with acceptance and rejection states in the urea cycle. The urea cycle is the metabolism of excess nitrogen produced by the breakdown of protein and other nitrogen-containing molecules in liver. Disorder in the urea cycle may lead to the accumulation of toxic ammonia in the blood, which leads to hyperammonemia. The elevation of plasma ammonia concentration may ultimately lead to cerebral edema in infants and severe brain damage due to the toxicity of ammonia. The diagnosis of urea cycle disorder is based on evaluation of clinical, biochemical, and molecular data. In this study, a new therapeutic approach for urea cycle disorders is developed based on a computational model. It is used to observe the normal process of the cycle through the state of acceptance. The state of rejection denotes a deficiency in the respective enzymatic activity. Subsequently, it assists in the creation of targeted treatment for brain damage and related enzymatic deficiency disorders.

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Section: Automatamentioning

confidence: 99%

Section: Computational Model Using Finite Automatamentioning

confidence: 99%

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Computational regulatory model for detoxification of ammonia from urea cycle in liver

Ali¹,

Gurusamy²,

Ramachandran³

2014

Turk J Biol

View full text Add to dashboard Cite

show abstract

“…A computational model for the extraction of human erythropoietin from the collection of proteins using finite automaton was constructed by Selvakumar et al (2013). Muhammad et al (2013) constructed a push-down automaton to monitor the glycolysis process in cancer cells.…”

Section: Introductionmentioning

confidence: 99%

Computational model for monitoring cholesterol metabolism

2014

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A non-deterministic finite automaton is designed to observe the cholesterol metabolism with the states of acceptance and rejection. The acceptance state of the automaton depicts the normal level of metabolism and production of good cholesterol as an end product. The rejection state of this machine shows the inhibition of enzymatic activity in cholesterol synthesis and removal of free fatty acids. The deficiency in human cholesterol metabolism pathway results in abnormal accumulation of cholesterol in plasma, arterial tissues leading to diseases such as hypercholesterolemia, atherosclerosis respectively and formation of gallstones. The designed machine can be used to monitor the cholesterol metabolism at molecular level through regulation of enzymes involved in the biosynthesis and metabolism of cholesterol for the treatment of diseases incident due to the respective metabolic disorder. In addition, an algorithm for this machine has been developed to compare the programmed string with the given string. This study demonstrates the construction of a machine that is used for the development of molecular targeted therapy for the disorders in cholesterol metabolism.

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An Embedded Automaton to Monitor the Glycolysis Process in Pancreatic β-Cells

2014

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An embedded automaton is introduced to monitor the whole glycolysis process in pancreatic β-cell and it is a hybridization of both non-deterministic finite automaton and push-down automaton. The set of irreversible and reversible reactions in the glycolysis process are related to non-deterministic finite automaton and push-down automaton respectively. The embedded automaton is used to observe the glucose metabolism with the states of acceptance and rejection. The acceptance state of the embedded automaton depicts the normal level of glycolysis and insulin secretion. The rejection state of this machine shows inhibition of glycolysis which obstructs the secretion of insulin. The subsequent low level of insulin leads to the high blood glucose level also known as hyperglycemia. In this study, the designed machine can be used to regulate the process of glycolysis through a group of regulatory glycolytic enzymes for the treatment of Diabetes mellitus at molecular level.

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A Computational Model for Monitoring Glycolysis Process in Cancer Cells

Cited by 5 publications

References 0 publications

Computational regulatory model for detoxification of ammonia from urea cycle in liver

Computational regulatory model for detoxification of ammonia from urea cycle in liver

Computational model for monitoring cholesterol metabolism

An Embedded Automaton to Monitor the Glycolysis Process in Pancreatic β-Cells

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