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Title |
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Choke point analysis of metabolic pathways in E.histolytica: A computational approach for drug target identification
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Authors |
Shailza Singh1,*, Balwant Kishen Malik 2 and Durlabh Kumar Sharma1 |
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Affiliation |
1Center for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India 2Institute of Genomics and Integrative Biology, CSIR, Mall Road , Delhi-110007, India
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+91-11-26591256 |
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+91-11-2658112; * Corresponding author |
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Article Type |
Hypothesis
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Date |
received February 19, 2007; revised July 17, 2007; accepted October 06, 2007; published online October 15, 2007
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Abstract |
With the Entamoeba genome essentially complete, the organism can be studied from a whole genome standpoint. The understanding of cellular mechanisms and interactions between cellular components is instrumental to the development of new effective drugs and vaccines. Metabolic pathway analysis is becoming increasingly important for assessing inherent network properties in reconstructed biochemical reaction networks. Metabolic pathways illustrate how proteins work in concert to produce cellular compounds or to transmit information at different levels. Identification of drug targets in E. histolytica through metabolic pathway analysis promises to be a novel approach in this direction. This article focuses on the identification of drug targets by subjecting the Entamoeba genome to BLAST with the e-value inclusion threshold set to 0.005 and choke point analysis. A total of 86.9% of proposed drug targets with biological evidence are chokepoint reactions in Entamoeba genome database.
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Keywords
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Entamoeba; metabolic pathway; chokepoint |
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Citation |
Singh et al., Bioinformation 2(2): 68-72 (2007) |
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Edited by |
M. Madan Babu |
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ISSN |
0973-2063
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Publisher |
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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.
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