Lauren T. May
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Articles (9)
Year:
2023
The application of artificial intelligence (AI) approaches to drug discovery for G protein‐coupled receptors (GPCRs) is a rapidly expanding area. Artificial intelligence can be used at multiple stages during the drug discovery process, from aiding our understanding of the fundamental actions of GPCRs to the discovery of new ligand‐GPCR interactions or the prediction of clinical responses. Here, we provide an overview of the concepts behind artificial intelligence, including the subfields of machine learning and deep learning. We summarise the published applications of artificial intelligence to different stages of the GPCR drug discovery process. Finally, we reflect on the benefits and limitations of artificial intelligence and share our vision for the exciting potential for further development of applications to aid GPCR drug discovery. In addition to making the drug discovery process “faster, smarter and cheaper,” we anticipate that the application of artificial intelligence will create exciting new opportunities for GPCR drug discovery.
Year:
2023
Year:
2023
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2022
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2021
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2021
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2021
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2021
Year:
2021
Collaborators (9)
Alisa Glukhova
MONASH UNIVERSITY
Mauro Perretti
Professor at Queen Mary University of London
Queen Mary University of London
Cheng Xue Qin
-
Paul J. White
-
Michelle L. Halls
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Barrie Kellam
Professor of Medicinal Chemistry
University of Nottingham
Dana Hutchinson
MONASH UNIVERSITY
Christopher J. Langmead
MONASH UNIVERSITY
Wendy Imlach
MONASH UNIVERSITY
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