Thesis
Data driven approaches to improve the drug discovery process: a virtual screening quest in drug discovery
- Abstract:
-
Drug discovery has witnessed an increase in the application of in silico methods to complement existing in vitro and in vivo experiments, in an attempt to 'fail fast' and reduce the high attrition rates of clinical phases. Computer algorithms have been successfully employed for many tasks including biological target selection, hit identification, lead optimization, binding affinity determination, ADME and toxicity prediction, side-effect prediction, drug repurposing, and...
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Authors
Contributors
+ Deane, C
Division:
MPLS
Department:
Statistics
Role:
Supervisor
+ Morris, G
Division:
MPLS
Department:
Statistics
Role:
Supervisor
Funding
Bibliographic Details
- Publication date:
- 2014
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- Oxford University, UK
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:96d73300-f767-4ed6-8dda-a13a4aeb40e0
- Local pid:
- ora:8259
- Deposit date:
- 2014-03-28
Terms of use
- Copyright holder:
- Ebejer, J
- Copyright date:
- 2014
- Notes:
- This thesis is not currently available via ORA.
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