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 percent of proposed drug targets with biological evidence are chokepoint reactions in Entamoeba genome database.

Highlights

  • The amitochondrial protist Entamoeba histolytica, lacking both mitochondria and hydrogenosomes [1] is estimated to infect up to 10 percent of the world’s population

  • It has been tried to focus 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

  • The view provided by the E. histolytica genome sequence is remarkable as it assists in the reconstruction of its metabolism and in the development of new antiamoebic drugs through the identification of its enzymes

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Summary

Introduction

The amitochondrial protist Entamoeba histolytica, lacking both mitochondria and hydrogenosomes [1] is estimated to infect up to 10 percent of the world’s population. It has been tried to focus 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. Metabolic pathway identification numbers of the host H. sapiens and the pathogen E.histolytica were extracted from the KEGG database.

Results
Conclusion

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