A scalable pipeline for designing reconfigurable organisms

Sam Kriegman, Douglas Blackiston, Michael Levin, Josh Bongard*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

146 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1853-1859
Number of pages7
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number4
DOIs
StatePublished - Jan 28 2020

Keywords

  • Artificial life
  • Bioengineering
  • Evolutionary computation

ASJC Scopus subject areas

  • General

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