Title: Diagnostic computational model for neuronal disorder through glycogen metabolism in astrocytes
Authors: R. Selvakumar; M. Rashith Muhammad
Addresses: Department of Mathematics, School of Advanced Sciences, VIT University, Vellore 632 014, Tamil Nadu, India ' Department of Mathematics, School of Advanced Sciences, VIT University, Vellore 632 014, Tamil Nadu, India
Abstract: An automaton called embedded automaton is introduced to monitor the glycogen metabolism with an end product as lactate in astrocytes. It is designed to observe the glycogen metabolism with the states of acceptance and rejection. It is a hybridisation of both non-deterministic finite automaton and push-down automaton. The acceptance state of the embedded automaton depicts the normal level of glycogen synthesis and degradation. The rejection state of this machine shows the inhibition of metabolic processes in the absence of active enzymes. The process of glycogen metabolism in astrocytes can be regulated with a group of regulatory enzymes. It assists in enhancing the energy supply to neurons by regulating the neuronal activity. The construction of computational model using automata theory can help in targeting research on the enzymatic activity in brain glycogen pathways. Such an interdisciplinary approach can be a promising therapeutic application for both diagnosis and therapy for neuronal injuries.
Keywords: embedded automaton; enzymes; glial cell; glycogen metabolism.
International Journal of Computing Science and Mathematics, 2018 Vol.9 No.3, pp.232 - 239
Accepted: 17 Jun 2017
Published online: 29 Jun 2018 *