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OJBTM

 Online Journal of Bioinformatics © 

  Volume 16 (2): 129-143, 2015.


 Prioritizing drug targets in metabolic pathway of Laribacter hongkongensis

 

Iftikhar Aslam Tayubi

 

Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia.

 

ABSTRACT

 

Aslam Tayubi I., Prioritizing drug targets in metabolic pathway of Laribacter hongkongensis, Onl J Bioinform., 16 (2): 129-143, 2015. The availability of complete genome sequences of pathogenic bacteria accelerates the process of drug target identification. Further, the emergence of rapidly mutating strains evokes the necessity for the discovery of new drug targets.  Hence, the objective of this study is to determine the highly expressed genes responsible in cellular pathways of Laribacter hongkongensis, where pyrimidine biosynthesis was our major pathway of interest. Laribacter hongkongensis is a gram-negative, seagull- or spiral rod-shaped potentially bacteria with global pathogenic occurrence causing diseases such as the community-acquired Gastroenteritis and Traveller’s Diarrhoea. The highly expressed genes in related biological pathways were determined, from which the pseudogenes, hypothetical  proteins  and  enzymes  common  to  human  species  were  systematically filtered out and eliminated. From the remaining enzymes, 2 key enzymes were selected based on their position of occurrence in the metabolic pathways. Subsequently, the 3- dimensional model of key enzyme Dihydroorotase from pyrimidine biosynthesis was predicted using MODELLER and validated using SAVS. The interaction of Dihydroorotase enzyme with three inhibitors was assessed by GOLD software. The study resulted in shortlisting of the highly expressed genes specific to the pathway of interest and in addition, resulted in determining the conserved residues at the binding site of DHO which can be targeted for designing inhibitor molecules, comprising a comprehensive approach which can be further, applied to other pathogens of clinical importance.

 

Key-Words: In Silico, Drug Target, Metabolic-Pathway, Laribacter.


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