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In Silico Discovery of Novel Ligands for Antimicrobial Lipopeptides for Computer-Aided Drug Design.

Satya Eswari JujjavarapuSwasti Dhagat
Published in: Probiotics and antimicrobial proteins (2019)
The increase in antibiotic-resistant strains of pathogens has created havoc worldwide. These antibiotic-resistant pathogens require potent drugs for their inhibition. Lipopeptides, which are produced as secondary metabolites by many microorganisms, have the ability to act as potent safe drugs. Lipopeptides are amphiphilic molecules containing a lipid chain bound to the peptide. They exhibit broad-spectrum activities against both bacteria and fungi. Other than their antimicrobial properties, they have displayed anti-cancer properties as well, but their mechanism of action is not understood. In silico drug design uses computer simulation to discover and develop new drugs. This technique reduces the need of expensive and tedious lab work and clinical trials, but this method becomes a challenge due to complex structures of lipopeptides. Specific agonists (ligands) must be identified to initiate a physiological response when combined with a receptor (lipopeptide). In silico drug design and homology modeling talks about the interaction between ligands and the binding sites. This review summarizes the mechanism of selected lipopeptides, their respective ligands, and in silico drug design.
Keyphrases
  • molecular docking
  • clinical trial
  • drug induced
  • staphylococcus aureus
  • adverse drug
  • escherichia coli
  • ms ms
  • gram negative
  • machine learning
  • high throughput
  • mass spectrometry
  • molecular dynamics simulations