Computational biology: Role and scope in taming antimicrobial resistance.

Journal: Indian journal of medical microbiology
Published Date:

Abstract

BACKGROUND: Infectious diseases pose many challenges due to increasing threat of antimicrobial resistance, which necessitates continuous research to develop novel strategies for development of new molecules with antibacterial activity. In the era of computational biology there are tools and techniques available to address and solve the disease management issues in the field of clinical microbiology. The sequencing techniques, structural biology and machine learning can be implemented collectively to tackle infectious diseases e.g. for the diagnosis, epidemiological typing, pathotyping, antimicrobial resistance detection as well as the discovery of novel drugs and vaccine biomarkers.

Authors

  • Priyanka Sharma
    Department of Botany, Kumaun University, D.S.B Campus, Nainital, India.
  • Sushila Dahiya
    Department of Microbiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India. Electronic address: sushaiims@gmail.com.
  • Punit Kaur
    Department of Biophysics, All India Institute of Medical Sciences (AIIMS), New Delhi, 110 029, Delhi, India.
  • Arti Kapil
    All India Institute of Medical Sciences, Delhi, India.