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A scalable pipeline for designing reconfigurable organisms
Living systems are more robust, diverse, complex, and supportive of human life than any technology yet created. However, our ability to create novel lifeforms is currently limited to varying existing organisms or bioengineering organoids in vitro. Here we show a scalable pipeline for creating functi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994979/ https://www.ncbi.nlm.nih.gov/pubmed/31932426 http://dx.doi.org/10.1073/pnas.1910837117 |
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author | Kriegman, Sam Blackiston, Douglas Levin, Michael Bongard, Josh |
author_facet | Kriegman, Sam Blackiston, Douglas Levin, Michael Bongard, Josh |
author_sort | Kriegman, Sam |
collection | PubMed |
description | Living systems are more robust, diverse, complex, and supportive of human life than any technology yet created. However, our ability to create novel lifeforms is currently limited to varying existing organisms or bioengineering organoids in vitro. Here we show a scalable pipeline for creating functional novel lifeforms: AI methods automatically design diverse candidate lifeforms in silico to perform some desired function, and transferable designs are then created using a cell-based construction toolkit to realize living systems with the predicted behaviors. Although some steps in this pipeline still require manual intervention, complete automation in future would pave the way to designing and deploying unique, bespoke living systems for a wide range of functions. |
format | Online Article Text |
id | pubmed-6994979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-69949792020-02-05 A scalable pipeline for designing reconfigurable organisms Kriegman, Sam Blackiston, Douglas Levin, Michael Bongard, Josh Proc Natl Acad Sci U S A Physical Sciences Living systems are more robust, diverse, complex, and supportive of human life than any technology yet created. However, our ability to create novel lifeforms is currently limited to varying existing organisms or bioengineering organoids in vitro. Here we show a scalable pipeline for creating functional novel lifeforms: AI methods automatically design diverse candidate lifeforms in silico to perform some desired function, and transferable designs are then created using a cell-based construction toolkit to realize living systems with the predicted behaviors. Although some steps in this pipeline still require manual intervention, complete automation in future would pave the way to designing and deploying unique, bespoke living systems for a wide range of functions. National Academy of Sciences 2020-01-28 2020-01-13 /pmc/articles/PMC6994979/ /pubmed/31932426 http://dx.doi.org/10.1073/pnas.1910837117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Physical Sciences Kriegman, Sam Blackiston, Douglas Levin, Michael Bongard, Josh A scalable pipeline for designing reconfigurable organisms |
title | A scalable pipeline for designing reconfigurable organisms |
title_full | A scalable pipeline for designing reconfigurable organisms |
title_fullStr | A scalable pipeline for designing reconfigurable organisms |
title_full_unstemmed | A scalable pipeline for designing reconfigurable organisms |
title_short | A scalable pipeline for designing reconfigurable organisms |
title_sort | scalable pipeline for designing reconfigurable organisms |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994979/ https://www.ncbi.nlm.nih.gov/pubmed/31932426 http://dx.doi.org/10.1073/pnas.1910837117 |
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