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Chapter - VI Summary
_________________________________________________________________________
Identification and Validation of Drug Targets
151
Chapter VI
SUMMARY
. .
 Comprehensive data mining and review was conducted to devise novel
strategies for genome based drug target identification.
 A web-based application is developed using java applying this strategic
approach for identification of genome based drug targets.
 Using this computational tool, drug targets were identified for a
selected list of 80 pathogenic microbes. A total of 8171 drug targets
were predicted from these 80 pathogenic microbes.
 The predicted targets were analyzed for its functional role using
bioinformatics tools.
 Novel approaches were designed to validate these predicted drug
targets. These predicted targets were validated by comparing with the
existing list of approved /proposed drug targets.
 Data analysis for the Mycobacterium tuberculosis showed 53 drug
targets. Comparison of these 53 targets showed it is highly conserved
among the Mycobacterial group of organisms and only two targets
matched with the approved drug targets from Drug Bank database.
Chapter - VI Summary
_________________________________________________________________________
Identification and Validation of Drug Targets
152
 These predicted drug targets were organized in a highly intuitive web
based database to promote public research in drug discovery and
development.
 The database was designed using JSP implementing AJAX concepts
for effective querying methods.
______

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Summary of the Research Study - Identification of Drug Targets

  • 1. Chapter - VI Summary _________________________________________________________________________ Identification and Validation of Drug Targets 151 Chapter VI SUMMARY . .  Comprehensive data mining and review was conducted to devise novel strategies for genome based drug target identification.  A web-based application is developed using java applying this strategic approach for identification of genome based drug targets.  Using this computational tool, drug targets were identified for a selected list of 80 pathogenic microbes. A total of 8171 drug targets were predicted from these 80 pathogenic microbes.  The predicted targets were analyzed for its functional role using bioinformatics tools.  Novel approaches were designed to validate these predicted drug targets. These predicted targets were validated by comparing with the existing list of approved /proposed drug targets.  Data analysis for the Mycobacterium tuberculosis showed 53 drug targets. Comparison of these 53 targets showed it is highly conserved among the Mycobacterial group of organisms and only two targets matched with the approved drug targets from Drug Bank database.
  • 2. Chapter - VI Summary _________________________________________________________________________ Identification and Validation of Drug Targets 152  These predicted drug targets were organized in a highly intuitive web based database to promote public research in drug discovery and development.  The database was designed using JSP implementing AJAX concepts for effective querying methods. ______