Metabolic Modeling and Simulation Analysis of Thyroid Disorder Pathway
- *Corresponding Author:
- Krishna Misra
Centre of Biomedical Magnetic Resonance
Sanjay Gandhi Post-Graduate Institute of Medical Sciences Campus Raebareli Road, Lucknow - 226 014, India
E-mail: [email protected]
Received Date: Febraury 16, 2012; Accepted Date: April 27, 2012; Published Date: April 30, 2012
Citation: Manish Kumar G, Dev Bukhsh S, Rath SK, Krishna M (2012) Metabolic Modeling and Simulation Analysis of Thyroid Disorder Pathway. J Comput Sci Syst Biol 5:052-061. doi:10.4172/jcsb.1000090
Copyright: © 2012 Manish Kumar G, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Thyroid hormone secretion pathway is one of the important pathways that regulates growth, development and is considered critical for brain, skeletal development and maturation. Autoimmune Thyroid Disease (AITD) results in damage of the thyroid gland altering the normal secretion of thyroid hormones causing hypothyroidism (Hashimoto’s thyroiditis) or hyperthyroidism (graves’ disease). A map of molecular interaction of the thyroid stimulating hormone receptor has been created using systems biology graphical notation language with the help of CellDesigner 4.1 and converted into BioPax 2.8.2 pathways description format. In the current state the map contains 9 compartment, 32 simple and complex protein, 18 small molecules, 3 ions and 35 chemical reactions. The network contains more details about Thyroid hormones, Thyroxin (T4) and Triiodothyronin (T3), secretion pathway than existing large scale real pathways. Simulation was done in order to understand the time-dependent behavior of TSH, T3 and T4 by taking 16 different cases related thyroid disorder. The simulation patterns are invariable after passing with certain period, it does not deviate the simulation pattern of pathways. This study helps in identification of novel targets related with different types of thyroid disorder. To anticipate potential drug targets by system-wide analysis of the metabolic network for the effective treatment of thyroid disorder, the model can be useful.