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Thesis

Deep learning applications in structure-based drug discovery

Abstract:

In recent years, machine learning and deep learning applications have permeated all fields of science thanks to rapid algorithmic advances and computer hardware developments. A very active area of research is the use of deep learning in structure-based drug design, where the goal is to design effective drugs against a pharmacological target of interest.

In this work, we explored the use of deep learning in the early stages of drug discovery. In particular, we focussed on structure...

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Division:
MSD
Department:
Biochemistry
Role:
Author

Contributors

Role:
Supervisor
ORCID:
0000-0001-5100-8836
Role:
Supervisor
ORCID:
0000-0003-1731-8405
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Name:
Biotechnology and Biological Sciences Research Council
Funder identifier:
http://dx.doi.org/10.13039/501100000268
Grant:
BB/MO11224/1
Programme:
Oxford Interdisciplinary Bioscience DTP (iCASE)
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Name:
Evotec (UK) Ltd.
Programme:
Oxford Interdisciplinary Bioscience DTP (iCASE)
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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