Perspectives for self-driving labs in synthetic biology

被引：30

作者：

Martin, Hector G. ^{[1
,2
,3
,4
]}

Radivojevic, Tijana ^{[1
,2
,3
]}

Zucker, Jeremy ^{[18
]}

Bouchard, Kristofer ^{[1
,5
,6
,7
]}

Sustarich, Jess ^{[3
,17
]}

Peisert, Sean ^{[5
,9
]}

Arnold, Dan ^{[8
]}

Hillson, Nathan ^{[1
,2
,3
]}

Babnigg, Gyorgy ^{[2
,15
]}

Marti, Jose M. ^{[1
,2
,3
,10
]}

Mungall, Christopher J. ^{[1
]}

Beckham, Gregg ^{[2
]}

Waldburger, Lucas

Carothers, James ^{[13
,14
]}

Sundaram, ShivShankar ^{[11
,12
]}

Agarwal, Deb ^{[5
]}

Simmons, Blake A. ^{[1
,2
,3
]}

Backman, Tyler ^{[1
,3
]}

Banerjee, Deepanwita ^{[1
,3
]}

Tanjore, Deepti ^{[1
,2
,16
]}

Ramakrishnan, Lavanya ^{[5
]}

Singh, Anup ^{[3
,11
]}

机构：

[1] Lawrence Berkeley Natl Lab, Biol Syst & Engn Div, Berkeley, CA 94720 USA

[2] Agile BioFoundry, DOE, Emeryville, CA 94608 USA

[3] Joint BioEnergy Inst, Emeryville, CA 94608 USA

[4] BCAM Basque Ctr Appl Math, Bilbao, Spain

[5] Lawrence Berkeley Natl Lab, Sci Data Div, Berkeley, CA USA

[6] Helen Wills Neurosci Inst, Berkeley, CA USA

[7] Redwood Ctr Theoret Neurosci, Berkeley, CA USA

[8] Lawrence Berkeley Natl Lab, Energy Storage & Distributed Resources Div, Berkeley, CA USA

[9] Univ Calif Davis, Dept Comp Sci, Davis, CA USA

[10] Lawrence Livermore Natl Lab, Global Secur Comp Applicat Div, Livermore, CA USA

[11] Lawrence Livermore Natl Lab, Engn Directorate, Livermore, CA USA

[12] Lawrence Livermore Natl Lab, Ctr Bioengn, Livermore, CA USA

[13] Univ Washington, Mol Engn & Sci Inst, Dept Chem Engn, Seattle, WA USA

[14] Univ Washington, Ctr Synthet Biol, Seattle, WA USA

[15] Argonne Natl Lab, Biosci Div, Argonne, IL USA

[16] Lawrence Berkeley Natl Lab, Adv Biofuels & Bioprod Proc Dev Unit, Berkeley, CA USA

[17] Sandia Natl Labs, Biomat & Biomfg Div, Livermore, CA USA

[18] Pacific Northwest Natl Labs, Earth & Biol Sci Div, Richland, WA USA

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2023年 / 79卷

基金：

美国国家科学基金会;

关键词：

EXPERIMENTATION; GENERATION; ROBOT;

D O I：

10.1016/j.copbio.2022.102881

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：8

共 50 条

[11] Biological research and self-driving labs in deep space supported by artificial intelligence
Lauren M. Sanders
Ryan T. Scott
Jason H. Yang
Amina Ann Qutub
Hector Garcia Martin
Daniel C. Berrios
Jaden J. A. Hastings
Jon Rask
Graham Mackintosh
Adrienne L. Hoarfrost
Stuart Chalk
John Kalantari
Kia Khezeli
Erik L. Antonsen
Joel Babdor
Richard Barker
Sergio E. Baranzini
Afshin Beheshti
Guillermo M. Delgado-Aparicio
Benjamin S. Glicksberg
Casey S. Greene
Melissa Haendel
Arif A. Hamid
Philip Heller
Daniel Jamieson
Katelyn J. Jarvis
Svetlana V. Komarova
Matthieu Komorowski
Prachi Kothiyal
Ashish Mahabal
Uri Manor
Christopher E. Mason
Mona Matar
George I. Mias
Jack Miller
Jerry G. Myers
Charlotte Nelson
Jonathan Oribello
Seung-min Park
Patricia Parsons-Wingerter
R. K. Prabhu
Robert J. Reynolds
Amanda Saravia-Butler
Suchi Saria
Aenor Sawyer
Nitin Kumar Singh
Michael Snyder
Frank Soboczenski
Karthik Soman
Corey A. Theriot
Nature Machine Intelligence, 2023, 5 : 208 - 219
[12] Performance metrics to unleash the power of self-driving labs in chemistry and materials science
Amanda A. Volk
Milad Abolhasani
Nature Communications, 15
[13] Driving the Self-Driving Vehicle
Blyth, Pascale-L.
Mladenovic, Milos N.
Nardi, Bonnie A.
Su, Norman M.
Ekbia, Hamid R.
2015 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS), 2015,
[14] LLM-Powered Synthetic Environments for Self-Driving Scenarios
Adekanye, Oluwanifemi Adebayo Moses
THIRTY-EIGTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 21, 2024, : 23721 - 23723
[15] RhizoNet segments plant roots to assess biomass and growth for enabling self-driving labs
Sordo, Zineb
Andeer, Peter
Sethian, James
Northen, Trent
Ushizima, Daniela
SCIENTIFIC REPORTS, 2024, 14 (01):
[16] Self-driving cars
Becker, Edward
Becker, Edward, 1600, Society of Tribologists and Lubrication Engineers (77):
[17] Self-Driving Cars
Orbay, Selin
9TH INTERNATIONAL CONFERENCE THE FUTURE OF EDUCATION, 2019, : 204 - 209
[18] SELF-DRIVING CARS
Kruger, Gary
SCIENTIFIC AMERICAN, 2016, 315 (04) : 8 - 8
[19] Self-Driving Cars
Daily, Mike
Medasani, Swarup
Behringer, Reinhold
Trivedi, Mohan
COMPUTER, 2017, 50 (12) : 18 - 23
[20] The self-driving photomask
Shiely, J. P.
PHOTOMASK TECHNOLOGY 2018, 2018, 10810

← 1 2 3 4 5 →