Dynamics of Mycobacteriophage-Mycobacterial Host Interaction

Methods Mol Biol. 2020:2131:329-347. doi: 10.1007/978-1-0716-0389-5_19.

Abstract

Mycobacterium sp. is exhibiting complex evolution of antimicrobial resistance (AMR) and can therefore be considered as a serious human pathogen. Many strategies were employed earlier to evade the pathogenesis but AMR became threatened. Molecular tools employing bacteriophage can be an alternative to effective treatment against Mycobacterium. Phage treatment using phage-encoded products, such as lysins, causes lysis of cells; particularly bacteria could be used instead of direct use of these bacteriophages. Modern technologies along with bacteriophage strategies such as in silico immunoinformatics approach, machine learning, and artificial intelligence have been described thoroughly to escape the pathogenesis. Therefore, understanding the molecular mechanisms could be a possible alternative to evade the pathogenesis.

Keywords: Immunoinformatics; Machine learning; Mycobacteriophage; Mycobacterium; Phage treatment.

MeSH terms

  • Animals
  • Computational Biology
  • Enzymes / pharmacology
  • Host-Pathogen Interactions
  • Humans
  • Machine Learning
  • Mycobacteriophages / physiology*
  • Mycobacterium / drug effects
  • Mycobacterium / growth & development*
  • Mycobacterium / virology
  • Mycobacterium Infections / drug therapy
  • Mycobacterium Infections / prevention & control*
  • Phage Therapy

Substances

  • Enzymes
  • lysin, streptococcus bacteriophage