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...
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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
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- UUID:
-
uuid:3f2a5d25-6f68-4b78-91e3-aa9d671eb273
- Deposit date:
-
2020-04-29
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