alexa Automated Reconstruction of Metabolic Pathways of Homo Sapiens involved in the Functioning of GAD1 and GAD2 Genes based on Structural Grammars
ISSN: 2153-0769

Metabolomics:Open Access
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Research Article

Automated Reconstruction of Metabolic Pathways of Homo Sapiens involved in the Functioning of GAD1 and GAD2 Genes based on Structural Grammars

Rajat K. De1* and Somnath Tagore2

1Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India

2Department of Biotechnology and Bioinformatics, Padmashree Dr. D.Y. Patil University, Navi Mumbai 400614, India

*Corresponding Author:
Rajat K. De
Machine Intelligence Unit
Indian Statistical Institute
Kolkata 700108, India
E-mail: [email protected]

Received date: March 16, 2012; Accepted date: April 19, 2012; Published date: April 21, 2012

Citation: De RK, Tagore S (2012) Automated Reconstruction of Metabolic Pathways of Homo Sapiens involved in the Functioning of GAD1 and GAD2 Genes based on Structural Grammars. Metabolomics S1:005. doi: 10.4172/2153-0769.S1-005

Copyright: © 2012 De RK, 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.



Modeling and analyzing the architecture of metabolic networks using various computational strategies can be successfully used for studying their internal metabolic dynamics as well as predicting missing links in diseased networks. In the present work, we have implemented our algorithm based on structural grammars, for automated metabolic pathway reconstruction and modeling in metabolic pathways responsible for coding genes responsible for the cause of Type 1 Diabetes mellitus (T1D) in Homo sapiens. We have especially implemented our algorithm for studying the metabolic pairs responsible for the functioning of GAD1 and GAD2 genes. We have also used the algorithm for automated reconstruction of glutamate metabolism, β-alanine metabolism, taurine & hypotaurine metabolism and butanoate metabolism pathway datasets. We have also used the algorithm for missing and multiple link prediction as well as nodal point analysis for all the four metabolic pathways with 90.4-100% accuracy.


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