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

Abstract

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.

A detailed experimental study of a DNA computer with two endonucleases

“…in the diagnosis and therapy of cancer [7] as well as in in vitro DNAbased logic circuits and gates to diagnose the levels of miRNA [8]. Another approach focuses on the potential application of biocomputing machines to biological processes [9,10] and to monitor enzymatic regulation [11]. A technique called DNA manipulation has been used in the biomolecular implementation of digital circuits [12] as well as neural networks [13].…”

Propuesta y evaluación de un sistema de telemedicina y de ayuda a la decisión para el cuidado de pacientes con diabetes gestacional

“…Todos los estados, tanto glucémicos como cetónicos por los que pasa la paciente se almacenan para que el personal clínico pueda observar qué medidas han ocasionado que la herramienta determine cada EMG. En el campo de la diabetes los autómatas se han utilizado para generar propuestas de dosis de insulina (Akbari Torkestani and Ghanaat Pisheh, 2014) o para simular procesos biomoleculares (Selvakumar, 2015) pero no para reconocer patrones de descontrol metabólico.…”