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  2. Volume 7, Issue 7
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Online ISSN: 2515-8260

Volume7, Issue7

Bioinformatics And Tuberculosis Databases- A Systematic Review

    Arnika, Garima Verma Jaspreet Singh Anish Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 4245-4253

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Abstract

Tuberculosis (TB) is one of those diseases which shows greater impact on public health. It causes serious infections inside the human body, if it is present in the active state. Its treatment is available in the form of vaccines, drugs etc. It is caused by Mycobacterium tuberculosis. This bacterium has the tendency to become drug-resistant by its characteristic mechanism. For better treatment on this disease, we need to collect and analyse data properly during the drug designing. Currently, many databases like Mycobacterial Database, TB Database, TubercuList, TBrowse etc are available which helps the researcher in collecting the required data. These databases play a major role in a successful research. CADD (computer aided drug design) has been utilized in creating, modifying, analysing or optimizing a design. This software is used to raise the production of designer, improve quality design, enhance communications through documenting and for the crfeation of a database to manufacture.by using CADD researchers can know about the drug molecule which have potential with the help of databases.
Keywords:
    Tuberculosis bacterium drug-resistant Database CADD
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(2020). Bioinformatics And Tuberculosis Databases- A Systematic Review. European Journal of Molecular & Clinical Medicine, 7(7), 4245-4253.
Arnika, Garima Verma; Jaspreet Singh; Anish Kumar. "Bioinformatics And Tuberculosis Databases- A Systematic Review". European Journal of Molecular & Clinical Medicine, 7, 7, 2020, 4245-4253.
(2020). 'Bioinformatics And Tuberculosis Databases- A Systematic Review', European Journal of Molecular & Clinical Medicine, 7(7), pp. 4245-4253.
Bioinformatics And Tuberculosis Databases- A Systematic Review. European Journal of Molecular & Clinical Medicine, 2020; 7(7): 4245-4253.
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