02213nas a2200349 4500000000100000008004100001260001200042653003100054653001200085653002500097653003100122653002000153100001400173700001300187700001200200700001500212700001900227700002000246700001500266700001200281700001100293700001400304700001300318700001600331700001500347245015700362856009600519300001400615490000700629520121300636022001401849 2021 d c04/202110aDrug target identification10aleprosy10aMycobacterium leprae10aMycobacterium lepromatosis10aVaccine targets1 aJaiswal A1 aTiwari S1 aJamal S1 aOliveira L1 aSales-Campos H1 aAndrade-Silva L1 aOliveira C1 aGhosh P1 aBarh D1 aAzevedo V1 aSoares S1 aRodrigues V1 ada Silva M00aReverse vaccinology and subtractive genomics approaches for identifying common therapeutics against Mycobacterium leprae and Mycobacterium lepromatosis. uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040911/pdf/1678-9199-jvatitd-27-e20200027.pdf ae202000270 v273 a

Background: and are gram-positive bacterial pathogens and the causative agents of leprosy in humans across the world. The elimination of leprosy cannot be achieved by multidrug therapy alone, and highlights the need for new tools and drugs to prevent the emergence of new resistant strains.

Methods: In this study, our contribution includes the prediction of vaccine targets and new putative drugs against leprosy, using reverse vaccinology and subtractive genomics. Six strains of and (4 and 2 strains, respectively) were used for comparison taking strain TN as the reference genome. Briefly, we used a combined reverse vaccinology and subtractive genomics approach.

Results: As a result, we identified 12 common putative antigenic proteins as vaccine targets and three common drug targets against and Furthermore the docking analysis using 28 natural compounds with three drug targets was done.

Conclusions: The bis-naphthoquinone compound Diospyrin (CID 308140) obtained from indigenous plant spp showed the most favored binding affinity against predicted drug targets, which can be a candidate therapeutic target in the future against leprosy.

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