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Title

Towards finding the linkage between metabolic and age-related disorders using semantic gene data network analysis

 

Authors

Mohammad Uzzal Hossain1, Abu Zaffar Shibly1, Taimur Md. Omar1, Fatama Tous Zohora1,Umme Sara Santona1, Md. Jakir Hossain1, Md. Sadek Hosen Khoka1, Chaman Ara Keya2, Md.Salimullah3*

Affiliation

1Department of Biotechnology and Genetic Engineering, Life Science Faculty, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Bangladesh.

 

2Department of Biology and Chemistry, North south University, Bashundhara, Dhaka 1229, Bangladesh.

 

3Molecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka 1349, Bangladesh.

 

Email

salim2969@gmail.com;   *Corresponding author

 

Article Type

Hypothesis

 

Date

Received January 04, 2016; Accepted January 07, 2016; Published January 31, 2016

Abstract

A metabolic disorder (MD) occurs when the metabolic process is disturbed. This process is carried out by thousands of enzymes participating in numerous inter-dependent metabolic pathways. Critical biochemical reactions that involve the processing and transportation of carbohydrates, proteins and lipids are affected in metabolic diseases. Therefore, it is of interest to identify the common pathways of metabolic disorders by building protein-protein interactions (PPI) for network analysis. The molecular network linkages between MD and age related diseases (ARD) are intriguing. Hence, we created networks of protein-protein interactions that are related with MD and ARD using relevant known data in the public domain. The network analysis identified known MD associated proteins and predicted genes and or its products of ARD in common pathways. The genes in the common pathways were isolated from the network and further analyzed for their co-localization and shared domains. Thus, a model hypothesis is proposed using interaction networks that are linked between MD and ARD. This data even if less conclusive finds application in understanding the molecular mechanism of known diseases in relation to observed molecular events.

 

Keywords

Gene network, common pathways, metabolic disorders, age-related disorders, interactions

 

Citation

Hossain et al.  Bioinformation 12(1): 22-27 (2016)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.