Recent advances and application of generative adversarial networks in drug discovery, development, and targeting

Recent advances and application of generative adversarial networks in drug discovery, development, and targeting

A rising amount of research demonstrates that artificial intelligence and machine learning approaches can provide an essential basis for the drug design and discovery process. Deep learning algorithms are being developed in response to recent advances in computer technology as part of the creation o...

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Bibliographic Details
Main Authors: Satvik Tripathi, Alisha Isabelle Augustin, Adam Dunlop, Rithvik Sukumaran, Suhani Dheer, Alex Zavalny, Owen Haslam, Thomas Austin, Jacob Donchez, Pushpendra Kumar Tripathi, Edward Kim
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Artificial Intelligence in the Life Sciences
Subjects:
Generative adversarial networks
Machine learning
Artificial intelligence
Pharmacology
Drug discovery
Drug targeting
Online Access:http://www.sciencedirect.com/science/article/pii/S2667318522000150

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http://www.sciencedirect.com/science/article/pii/S2667318522000150

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