15-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
Faculty of Computing and Information Technology in Rabigh
Document Details
Document Type
:
Article In Journal
Document Title
:
Computational Approach to Prioritize Drug Targets in Metabolic Pathway of Laribacter hongkongensis
لنهج الحسابي لإعطاء الأولوية للأهداف المخدرات في التمثيل الغذائ الطريق من Laribacter hongkongensis
Subject
:
Bioinformatics
Document Language
:
English
Abstract
:
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.
ISSN
:
1443-2250
Journal Name
:
Online Journal of Bioinformatics
Volume
:
16
Issue Number
:
2
Publishing Year
:
1436 AH
2015 AD
Article Type
:
Article
Added Date
:
Monday, February 29, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
افتخار اسلام طيوبي
Tayubi, Iftikhar Asalm
Investigator
Doctorate
Iftikhar.tayubi@gmail.com
Files
File Name
Type
Description
38306.pdf
pdf
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