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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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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Genomics Consortium
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Structural Genomics Consortium
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Supervisor
Department:
Novartis
Role:
Supervisor
Department:
UCB Pharma
Role:
Supervisor
Department:
UCB Pharma
Role:
Supervisor
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Medical Research Council More from this funder
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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