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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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American Chemical Society (ACS)
2022
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| Online Access: | https://hdl.handle.net/1721.1/143764 |
| _version_ | 1826197600538198016 |
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| author | Torres, Marcelo DT Cao, Jicong Franco, Octavio L Lu, Timothy K de la Fuente-Nunez, Cesar |
| author2 | Massachusetts Institute of Technology. Synthetic Biology Center |
| author_facet | Massachusetts Institute of Technology. Synthetic Biology Center Torres, Marcelo DT Cao, Jicong Franco, Octavio L Lu, Timothy K de la Fuente-Nunez, Cesar |
| author_sort | Torres, Marcelo DT |
| collection | MIT |
| description | © 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. |
| first_indexed | 2024-09-23T10:50:07Z |
| format | Article |
| id | mit-1721.1/143764 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:50:07Z |
| publishDate | 2022 |
| publisher | American Chemical Society (ACS) |
| record_format | dspace |
| spelling | mit-1721.1/1437642023-07-28T20:27:59Z Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery Torres, Marcelo DT Cao, Jicong Franco, Octavio L Lu, Timothy K de la Fuente-Nunez, Cesar Massachusetts Institute of Technology. Synthetic Biology Center Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics © 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. 2022-07-15T14:47:47Z 2022-07-15T14:47:47Z 2021 2022-07-15T14:34:56Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143764 Torres, Marcelo DT, Cao, Jicong, Franco, Octavio L, Lu, Timothy K and de la Fuente-Nunez, Cesar. 2021. "Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery." ACS Nano, 15 (2). en 10.1021/ACSNANO.0C09509 ACS Nano Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Chemical Society (ACS) PMC |
| spellingShingle | Torres, Marcelo DT Cao, Jicong Franco, Octavio L Lu, Timothy K de la Fuente-Nunez, Cesar Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title | Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title_full | Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title_fullStr | Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title_full_unstemmed | Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title_short | Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery |
| title_sort | synthetic biology and computer based frameworks for antimicrobial peptide discovery |
| url | https://hdl.handle.net/1721.1/143764 |
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