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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...

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Detalles Bibliográficos
Autores principales: Kriegman, Sam, Blackiston, Douglas, Levin, Michael, Bongard, Josh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
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.
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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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