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Insights of Rv2921c (Ftsy) Gene of Mycobacterium tuberculosis H37Rv To Prove Its Significance by Computational Approach

Author

Listed:
  • Shivangi
  • Laxman S Meena

    (CSIR-Institute of Genomics and Integrative Biology, India)

  • Md Amjad Beg

    (CSIR-Institute of Genomics and Integrative Biology, India
    Centre for Interdisciplinary Research in Basic Science, India)

Abstract

After seeing the epidemic of tuberculosis in our country and across world according to WHO report, we right now present with an emergence of treatment/research against this disease...

Suggested Citation

  • Shivangi & Laxman S Meena & Md Amjad Beg, 2018. "Insights of Rv2921c (Ftsy) Gene of Mycobacterium tuberculosis H37Rv To Prove Its Significance by Computational Approach," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 12(2), pages 9147-9157, December.
    • Handle: RePEc:abf:journl:v:12:y:2018:i:2:p:9147-9157
    DOI: 10.26717/BJSTR.2018.12.002231
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    References listed on IDEAS

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    1. Sheng Wang & Siqi Sun & Zhen Li & Renyu Zhang & Jinbo Xu, 2017. "Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-34, January.
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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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