Thesis
Protein sequence information encodes more than the global minimum structure
- Alternative title:
- Co-evolution analysis for allosteric network prediction
- Abstract:
-
Allostery is a conformational or activity change of a protein’s active site resulting from a binding event at a distant, allosteric, site. The signal transmission is hypothesised to travel via allosteric networks and knowledge about the exact residues that transmit the signal would be beneficial for developing allosteric drugs. Allosteric drugs should offer high selectivity and/or better treatment through combination therapies.
We investigated if co-evolution techniques could be us...
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Authors
Contributors
+ Deane, C
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Statistics
- Role:
- Supervisor
- ORCID:
- 0000-0003-1388-2252
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- http://dx.doi.org/10.13039/501100000266
- Funding agency for:
- Schwarz, D
- Grant:
- EP/L016044/1
- Programme:
- Systems Approaches to Biomedical Science (SABS) CDT programme
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2022-05-19
Terms of use
- Copyright holder:
- Schwarz, D
- Copyright date:
- 2021
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