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ORIGINAL ARTICLE
Year : 2019  |  Volume : 8  |  Issue : 3  |  Page : 252-261

An In silico approach to identify potential inhibitors against multiple drug targets of Mycobacterium tuberculosis


Bioinformatics Centre, Department of Biochemistry and JBTDRC, Mahatma Gandhi Institute of Medical Sciences, Wardha, Maharashtra, India

Correspondence Address:
Dr Satish Kumar
Bioinformatics Centre, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha - 442 102, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmy.ijmy_109_19

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Background: The increasing incidence of multidrug-resistant cases of tuberculosis (TB) and difficulty in treating these cases requires an urgent need to find an effective anti-TB drug. There are many phytochemicals with reported antibacterial and antitubercular activities. Instead of targeting only a single target of Mycobacterium tuberculosis (MTB), this study aims to identify phytochemicals targeting multiple drug targets of MTB through subtractive genomic/proteomic approach followed by in silico screening of phytochemicals with reported anti-TB activity. Methods: Of 614 essential genes of MTB reported in database of essential genes, 15 gene products were selected using different bioinformatic resources and tools such as PANTHER, Venny, NCBI, and BLAST. Results: Virtual screening analysis of these selected drug targets against identified 148 phytochemicals revealed that amentoflavone, carpaine, 13'bromo-tiliacorinine, and 2'nortiliacorinine, able to inhibit more than one target of MTB. Conclusion: These selected compounds may be proposed as potential inhibitors of MTB and need to be tested in TB culture studies in vitro to assess their anti-TB activity.


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