Bioinformatics Methods for Biochemical Pathways and System Biology Analysis

Authors(2) :-Mahin Ghorbani, Hamed Karimi

The analysis of biochemical pathways and system biology has gained significance because of their role in understanding disease and drug discovery .Bioinformatics analysis of the pathways has emerged to understand the genotype-phenotype relationship on a large scale. The techniques integrate the molecular information from the databases with simulation of metabolic networks. These methods also help in representation of genes, proteins and metabolic pathways in combination with dynamic simulated environment. In this paper we reviewed some applicable bioinformatics tools for analytical study of three types of pathways such as metabolic, genetics and signalling pathways along with the information about their principle, work system and their direct access link to the databases and programs. This study helps scientists in fast, economic, high accuracy and large scale based outputs of pathways analysis of their appropriate research involving the biochemical pathways. Bioinformatics tools listed in this paper are named as RegulonDB, WIT,UM-BBD, EcoCyc, MetaCyc, Enzyme and metabolic pathways database, KEGG, KEGG BRITE, Gene network database, Gene path SPAD, STCDB, TRANSPATH Netpath, Signal link2.0.

Authors and Affiliations

Mahin Ghorbani
Department of Biotechnology, Fergusson College, F.C. Road, Pune, Maharashtra, India
Hamed Karimi
Department of Information Technology, Payam noor university of Farokh-shahr , Farokh-shahr, Chaharmahl va bakhtiari, Iran

Bioinformatics Tools, Analytical Study, Biochemical Pathways, System Biology

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Publication Details

Published in : Volume 1 | Issue 4 | September-October 2015
Date of Publication : 2015-10-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 75-79
Manuscript Number : IJSRST15145
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Mahin Ghorbani, Hamed Karimi, " Bioinformatics Methods for Biochemical Pathways and System Biology Analysis", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 4, pp.75-79, September-October-2015.
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