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Perspectives for self-driving labs in synthetic biology.
Martin, Hector G; Radivojevic, Tijana; Zucker, Jeremy; Bouchard, Kristofer; Sustarich, Jess; Peisert, Sean; Arnold, Dan; Hillson, Nathan; Babnigg, Gyorgy; Marti, Jose M; Mungall, Christopher J; Beckham, Gregg T; Waldburger, Lucas; Carothers, James; Sundaram, ShivShankar; Agarwal, Deb; Simmons, Blake A; Backman, Tyler; Banerjee, Deepanwita; Tanjore, Deepti; Ramakrishnan, Lavanya; Singh, Anup.
Afiliación
  • Martin HG; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States; BCAM, Basque Center for Applied Mathematics, Bilbao, Spain
  • Radivojevic T; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States.
  • Zucker J; Earth and Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA, United States.
  • Bouchard K; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Lawrence Berkeley National Laboratory, Scientific Data Division, Berkeley, CA, United States; Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, Berkeley,
  • Sustarich J; Joint BioEnergy Institute, Emeryville, CA, United States; Biomaterials and Biomanufacturing Division, Sandia National Laboratories, Livermore, CA, United States.
  • Peisert S; Lawrence Berkeley National Laboratory, Scientific Data Division, Berkeley, CA, United States; University of California, Davis, Department of Computer Science, Davis, CA, United States.
  • Arnold D; Lawrence Berkeley National Laboratory, Energy Storage and Distributed Resources Division, Berkeley, CA, United States.
  • Hillson N; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States.
  • Babnigg G; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Biosciences Division, Argonne National Laboratory, Argonne, IL, United States.
  • Marti JM; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States; Global Security Computing Applications Division, Lawrence
  • Mungall CJ; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States.
  • Beckham GT; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO 80401, United States.
  • Waldburger L; Department of Bioengineering, University of California, Berkeley, CA, United States.
  • Carothers J; Department of Chemical Engineering, Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, WA, United States.
  • Sundaram S; Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States; Center for Bioengineering, Lawrence Livermore National Laboratory, Livermore, CA, United States.
  • Agarwal D; Lawrence Berkeley National Laboratory, Scientific Data Division, Berkeley, CA, United States.
  • Simmons BA; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States.
  • Backman T; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States.
  • Banerjee D; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Joint BioEnergy Institute, Emeryville, CA, United States.
  • Tanjore D; Lawrence Berkeley National Laboratory, Biological Systems and Engineering Division, Berkeley, CA, United States; Department of Energy, Agile BioFoundry, Emeryville, CA, United States; Advanced Biofuels and Bioproducts Process Development Unit, Lawrence Berkeley National Laboratory, Berkeley, CA, Uni
  • Ramakrishnan L; Lawrence Berkeley National Laboratory, Scientific Data Division, Berkeley, CA, United States.
  • Singh A; Joint BioEnergy Institute, Emeryville, CA, United States; Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States.
Curr Opin Biotechnol ; 79: 102881, 2023 02.
Article en En | MEDLINE | ID: mdl-36603501
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is probed, interpreted, and explained by machines for human benefit. While there are functioning SDLs in the fields of chemistry and materials science, we contend that synthetic biology provides a unique opportunity since the genome provides a single target for affecting the incredibly wide repertoire of biological cell behavior. However, the level of investment required for the creation of biological SDLs is only warranted if directed toward solving difficult and enabling biological questions. Here, we discuss challenges and opportunities in creating SDLs for synthetic biology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Biología Sintética Límite: Humans Idioma: En Revista: Curr Opin Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Biología Sintética Límite: Humans Idioma: En Revista: Curr Opin Biotechnol Asunto de la revista: BIOTECNOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: España Pais de publicación: Reino Unido