Artificial Intelligence for Chemical Synthesis: Improving the Workflow of Medicinal Chemists using Computer-Aided Synthesis Planning

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Artificial Intelligence for Chemical Synthesis: Improving the Workflow of Medicinal Chemists using Computer-Aided Synthesis Planning

Machine learning techniques have numerous applications in modern drug discovery. Advances in computing power, machine learning algorithms and data availability have inspired renewed interest in artificial intelligence and automation in chemical synthesis. The field of Computer-Aided Synthesis Planni...

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Bibliographic Details
Main Author:	Haywood, Alexe L.
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2024
Subjects:	machine learning Computer-Aided Synthesis Planning drug discovery chemical synthesis
Online Access:	https://eprints.nottingham.ac.uk/77169/

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