Thesis
Multiple crystallographic dataset analysis to explore crystallographic occupancy and the conformational states of proteins
- Abstract:
-
Protein crystallography is a powerful technique, to elucidate binding poses of ligands, which when sufficiently high-resolution data are available, gives atomic detail. Different conformations of the protein can also be revealed, potentially identifying which states are relevant to function and thus informing structure-based design. Recent advances in interpreting electron density from multiple datasets, such as Pan Dataset Density Analysis (PanDDA) have improved ligand detectability. This...
Expand abstract
Actions
Authors
Contributors
+ von Delft, F
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Genomics Consortium
Role:
Supervisor
+ Deane, C
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
+ Dekker, C
Department:
Novartis
Role:
Supervisor
+ Shi, J
Department:
UCB Pharma
Role:
Supervisor
+ Kelm, S
Department:
UCB Pharma
Role:
Supervisor
Funding
Novartis
More from this funder
UCB Pharma
More from this funder
Medical Research Council
More from this funder
Bibliographic Details
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:3f2a5d25-6f68-4b78-91e3-aa9d671eb273
- Deposit date:
- 2020-04-29
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record