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

Year:

2022

Year:

2021

Year:

2021

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2021

Year:

2021

Year:

2021

Collaborators (9)

Alisa Glukhova

MONASH UNIVERSITY

AUSTRALIA
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Mauro Perretti

Professor at Queen Mary University of London

Queen Mary University of London

UNITED KINGDOM
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Cheng Xue Qin

-

AUSTRALIA
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Paul J. White

-

AUSTRALIA
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Michelle L. Halls

-

AUSTRALIA
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Barrie Kellam

Professor of Medicinal Chemistry

University of Nottingham

UNITED KINGDOM
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Dana Hutchinson

MONASH UNIVERSITY

AUSTRALIA
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Christopher J. Langmead

MONASH UNIVERSITY

AUSTRALIA
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Wendy Imlach

MONASH UNIVERSITY

AUSTRALIA
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