Self-driving laboratories (SDLs) are at the intersection of robotics, artificial intelligence, and laboratory automation. From materials design, small molecule discovery, to synthetic biology, SDLs have infiltrated a diverse range of applications across academia and industry. The following Perspective (inspired by Future Labs, a workshop held at NC State University in early 2024) describes how SDLs might become an integrated component to future research processes and generally applicable in many research and development areas for increased molecule innovation and discovery.
ScannellJW, BlanckleyA, BoldonH, et al.Diagnosing the decline in pharmaceutical R&D efficiency. Nat Rev Drug Discov, 2012; 11(3):191–200; doi: 10.1038/nrd3681
3.
ParkM, LeaheyE, FunkRJ. Papers and patents are becoming less disruptive over time. Nature, 2023; 613(7942):138–144; doi: 10.1038/s41586-022-05543-x
4.
ChristensenCM.The innovator's dilema. Harvard Business School Press: Boston; 1997.
5.
SneaderW.Drug discovery a history. Wiley: Cheppenham; 2005.
6.
KirschDR, OgasO.The drug hunters. Arcade Publishing: New York, NY, USA; 2017.
7.
Pacheco GutierrezD, FolkmannLM, TribukaitH, et al.How to accelerate R&D and optimize experiment planning with machine learning and data science. Chimia (Aarau), 2023; 77(1–2):7–16; doi:10.2533/chimia.2023.7
8.
EppsRW, BowenMS, VolkAA, et al.Artificial chemist: An autonomous quantum dot synthesis bot. Adv Mater, 2020; 32(30):e2001626; doi:10.1002/adma.202001626
9.
MartinHG, RadivojevicT, ZuckerJ, et al.Perspectives for self-driving labs in synthetic biology. Curr Opin Biotechnol, 2023; 79:102881; doi:10.1016/j.copbio.2022.102881
10.
KoscherBA, CantyRB, McDonaldMA, et al.Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back. Science, 2023; 382(6677):eadi1407; doi:10.1126/science.adi1407
11.
AngelloNH, RathoreV, BekerW, et al.Closed-loop optimization of general reaction conditions for heteroaryl Suzuki-Miyaura coupling. Science, 2022; 378(6618):399–405; doi:10.1126/science.adc8743
12.
LehmannJW, BlairDJ, BurkeMD. Towards the generalized iterative synthesis of small molecules. Nat Rev Chem, 2018; 2(2):0115; doi:10.1038/s41570-018-0115
13.
TrobeM, BurkeMD. The molecular industrial revolution: Automated synthesis of small molecules. Angew Chem Int Ed Engl, 2018; 57(16):4192–4214; doi:10.1002/anie.201710482
14.
ColeyCW, EykeNS, JensenKF. Autonomous discovery in the chemical sciences part I: Progress. Angew Chem Int Ed Engl, 2020; 59(51):22858–22893; doi:10.1002/anie.201909987
15.
ColeyCW, EykeNS, JensenKF. Autonomous discovery in the chemical sciences part II: Outlook. Angew Chem Int Ed Engl, 2020; 59(52):23414–23436; doi:10.1002/anie.201909989
16.
BairdSG, SparksTD. Building a “Hello World” for self-driving labs: The closed-loop spectroscopy lab light-mixing demo. STAR Protoc, 2023; 4(2):102329; doi:10.1016/j.xpro.2023.102329
