Uridine monophosphate kinase as potential target for tuberculosis: From target to lead identification
Autor: | Vaibhav Jain, Parameswaran Saravanan, C. Gopi Mohan, Akanksha Arvind |
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Rok vydání: | 2013 |
Předmět: |
Genetics
Virtual screening Health Informatics Mycobacterium tuberculosis Biology biology.organism_classification General Biochemistry Genetics and Molecular Biology Computer Science Applications Docking (molecular) Proteome Human proteome project Humans Tuberculosis Homology modeling KEGG Nucleoside-Phosphate Kinase ADME |
Zdroj: | Interdisciplinary Sciences: Computational Life Sciences. 5:296-311 |
ISSN: | 1867-1462 1913-2751 |
DOI: | 10.1007/s12539-013-0180-y |
Popis: | Mycobacterium tuberculosis (Mtb) is a causative agent of tuberculosis (TB) disease, which has affected approximately 2 billion people worldwide. Due to the emergence of resistance towards the existing drugs, discovery of new anti-TB drugs is an important global healthcare challenge. To address this problem, there is an urgent need to identify new drug targets in Mtb. In the present study, the subtractive genomics approach has been employed for the identification of new drug targets against TB. Screening the Mtb proteome using the Database of Essential Genes (DEG) and human proteome resulted in the identification of 60 key proteins which have no eukaryotic counterparts. Critical analysis of these proteins using Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways database revealed uridine monophosphate kinase (UMPK) enzyme as a potential drug target for developing novel anti-TB drugs. Homology model of Mtb-UMPK was constructed for the first time on the basis of the crystal structure of E. coli-UMPK, in order to understand its structure-function relationships, and which would in turn facilitate to perform structure-based inhibitor design. Furthermore, the structural similarity search was carried out using physiological inhibitor UTP of Mtb-UMPK to virtually screen ZINC database. Retrieved hits were further screened by implementing several filters like ADME and toxicity followed by molecular docking. Finally, on the basis of the Glide docking score and the mode of binding, 6 putative leads were identified as inhibitors of this enzyme which can potentially emerge as future drugs for the treatment of TB. |
Databáze: | OpenAIRE |
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