Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery

© 2021 American Chemical Society. 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 h...

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Bibliographic Details
Main Authors: Torres, Marcelo DT, Cao, Jicong, Franco, Octavio L, Lu, Timothy K, de la Fuente-Nunez, Cesar
Other Authors: Massachusetts Institute of Technology. Synthetic Biology Center
Format: Article
Language:English
Published: American Chemical Society (ACS) 2022
Online Access:https://hdl.handle.net/1721.1/143764
Description
Summary:© 2021 American Chemical Society. 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.