An In Silico Approach for Function Prediction of Hypothetical Proteins of Mycobacterium laprae TN

Abstract

Mycobacterium leprae, also well-known as Hansen’s coccus spirally, generally found in lukewarm tropical countries, is a bacterium that causes leprosy (Hansen's disease). M. leprae was revealed in 1873 by the Norwegian physician Gerhard Armauer Hansen. Leprosy is principally a granulomatous disease of the peripheral nerves and mucosa of the upper respiratory tract; skin lesions are the primary external sign. Leprosy can occur at all ages from infancy to the elderly, but through treatment, it can be forfended. A total of 1605 proteins is available in Mycobacterium leprae TN, out of which 595 proteins were hypothetical (37.07%). Ten diverse tools were applied to interpret hypothetical proteins of M. leprae TN like BLASTP, InterProScan, COGniter, protFUN, CDD, TMHMM, Phyre meta server, PFP, Protfun. To conclude 312 proteins were established having several functions, which is 52.44% of the total hypothetical proteins. Out of ten tools, the utmost numbers of hypothetical proteins (49.75%) were predicted by BLASTP. Worldwide, two to three million people are estimated to be permanently disabled of leprosy. Including, The highest number of cases in India.

Keywords: Mycobacterium leprae, Leprosy, hypothetical proteins