Thesis
Deep learning approaches for pre-clinical drug discovery
- Abstract:
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Deep learning methods have experienced a revolution, driven by their successful application in fields such as computer vision and natural language processing. In this thesis, we describe several novel methodologies leveraging deep learning for applications to pre-clinical drug discovery.
First, we propose a generative approach to the design of molecular linkers which incorporates basic 3D information. In large-scale tests, we find that our method substantially outperforms a databas...
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Authors
Contributors
+ van der Schaar, M
Institution:
University of Cambridge
Role:
Supervisor
+ Bradley, AR
Institution:
Exscientia Ltd
Role:
Supervisor
+ Deane, C
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Research group:
Oxford Protein Informatics Group
Role:
Supervisor
ORCID:
0000-0003-1388-2252
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Imrie, FM
Grant:
EP/N509711/1
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- Deposit date:
- 2021-04-01
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