In silico characterization of hypothetical proteins obtained from Mycobacterium tuberculosis H37Rv
Tuberculosis is one of the oldest diseases with a death rate of 1.5 million per year. Tuberculosis spreads from one person to another through Mycobacterium tuberculosis . This bacteria belongs to the family Mycobacteriaceae , genus Mycobacterium , member of the tuberculosis complex. Mycobacterium tu...
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Veröffentlicht in: | Network modeling and analysis in health informatics and bioinformatics (Wien) 2017-12, Vol.6 (1), p.5, Article 5 |
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Sprache: | eng |
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Zusammenfassung: | Tuberculosis is one of the oldest diseases with a death rate of 1.5 million per year. Tuberculosis spreads from one person to another through
Mycobacterium tuberculosis
. This bacteria belongs to the family
Mycobacteriaceae
, genus
Mycobacterium
, member of the tuberculosis complex.
Mycobacterium tuberculosis
is an acid-fast, aerobic, rod-shaped bacteria, ranging from 2 to 4 Â µm in length and 0.2 to 0.5 Â µm in width. Tuberculosis spreads through infected people via sneezing, coughing, etc., with humans acting as the host for the bacteria. The genome of
Mycobacterium tuberculosis H37Rv
encodes 3906 proteins, of which 1055 are hypothetical proteins (HPs), wherein the functions of the proteins are unknown. The sequences of 1055 HPs of
Mycobacterium tuberculosis
were analyzed and the functions of 578 HPs were subsequently predicted with a high level of confidence. Several enzymes, transporters and binding proteins of 1055 HPs in
M. tuberculosis
were analyzed and potential targets were discovered which contribute to the overall survival of the bacteria. The analysis will be of relevance in understanding the mechanism of the bacteria and will prove to be beneficial in the discovery of new drugs. |
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ISSN: | 2192-6662 2192-6670 |
DOI: | 10.1007/s13721-017-0147-8 |