Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery

ACS Nano. 2021 Feb 23;15(2):2143-2164. doi: 10.1021/acsnano.0c09509. Epub 2021 Feb 4.

Abstract

Antibiotic resistance is one of the greatest challenges of our time. This global health problem originated from a paucity of truly effective antibiotic classes and an increased incidence of multi-drug-resistant bacterial isolates in hospitals worldwide. Indeed, it has been recently estimated that 10 million people will die annually from drug-resistant infections by the year 2050. Therefore, the need to develop out-of-the-box strategies to combat antibiotic resistance is urgent. The biological world has provided natural templates, called antimicrobial peptides (AMPs), which exhibit multiple intrinsic medical properties including the targeting of bacteria. AMPs can be used as scaffolds and, via engineering, can be reconfigured for optimized potency and targetability toward drug-resistant pathogens. Here, we review the recent development of tools for the discovery, design, and production of AMPs and propose that the future of peptide drug discovery will involve the convergence of computational and synthetic biology principles.

Keywords: antimicrobial peptides; computational biology; molecular design frameworks; peptide chemistry; peptide design; peptide discovery; rational design; synthetic biology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Anti-Bacterial Agents / pharmacology
  • Anti-Bacterial Agents / therapeutic use
  • Antimicrobial Cationic Peptides* / pharmacology
  • Computers
  • Humans
  • Pore Forming Cytotoxic Proteins
  • Synthetic Biology*

Substances

  • Anti-Bacterial Agents
  • Antimicrobial Cationic Peptides
  • Pore Forming Cytotoxic Proteins