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Application of simulation methods for the identification of allosteric binding site in human glucokinase

Application of simulation methods for the identification of allosteric binding site in human glucokinase
Application of simulation methods for the identification of allosteric binding site in human glucokinase
Allosteric binding site, in generic terms, refers to a binding site distinct from the active site, where binding of an effector can enhance or decrease enzyme?s activity. From a drug design point of view targeting allosteric binding sites can offer advantages in terms of selectivity, saturability, and the opportunity for discovering new chemotypes. Current known allosteric drugs have often been identified by chance with high-throughput screening. Although experimental methods can be successful in identifying such binding sites, owing to the cost and time associated with experiments, it would be useful to be able to aid the prediction of the location of such alternative binding sites with computational methods.

In this thesis two computational approaches, molecular dynamics (MD) and normal mode analysis (NMA) have been applied to an allosteric enzyme human glucokinase (GLK) for which known allosteric activators have been discovered, as a test-case. First an X-ray structure, bound to glucose and an allosteric activator, has been examined as a benchmark. The apo form of the enzyme has also been studied for further understanding of the dynamics of this enzyme in an unbound form. We then turned our attention to an X-ray structure, bound only to glucose, where the allosteric binding site is not visible. This allowed for a real scenario where the allosteric binding site is not observed in the static structure in the absence of a suitable activator and for which we aimed to reveal the binding site.

In this system we have successfully revealed the allosteric binding site and would have been able to predict the location with reasonable confidence.
Vahdati, Nadia
a34e3296-43f3-4700-965f-ff9e02ff3e98
Vahdati, Nadia
a34e3296-43f3-4700-965f-ff9e02ff3e98
Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5

Vahdati, Nadia (2010) Application of simulation methods for the identification of allosteric binding site in human glucokinase. University of Southampton, School of Chemistry, Doctoral Thesis, 223pp.

Record type: Thesis (Doctoral)

Abstract

Allosteric binding site, in generic terms, refers to a binding site distinct from the active site, where binding of an effector can enhance or decrease enzyme?s activity. From a drug design point of view targeting allosteric binding sites can offer advantages in terms of selectivity, saturability, and the opportunity for discovering new chemotypes. Current known allosteric drugs have often been identified by chance with high-throughput screening. Although experimental methods can be successful in identifying such binding sites, owing to the cost and time associated with experiments, it would be useful to be able to aid the prediction of the location of such alternative binding sites with computational methods.

In this thesis two computational approaches, molecular dynamics (MD) and normal mode analysis (NMA) have been applied to an allosteric enzyme human glucokinase (GLK) for which known allosteric activators have been discovered, as a test-case. First an X-ray structure, bound to glucose and an allosteric activator, has been examined as a benchmark. The apo form of the enzyme has also been studied for further understanding of the dynamics of this enzyme in an unbound form. We then turned our attention to an X-ray structure, bound only to glucose, where the allosteric binding site is not visible. This allowed for a real scenario where the allosteric binding site is not observed in the static structure in the absence of a suitable activator and for which we aimed to reveal the binding site.

In this system we have successfully revealed the allosteric binding site and would have been able to predict the location with reasonable confidence.

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Published date: April 2010
Organisations: University of Southampton

Identifiers

Local EPrints ID: 171075
URI: http://eprints.soton.ac.uk/id/eprint/171075
PURE UUID: 6deac1d5-86db-49f5-872b-5fefcee4c856
ORCID for Jonathan W. Essex: ORCID iD orcid.org/0000-0003-2639-2746

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Date deposited: 08 Feb 2011 10:35
Last modified: 30 Jan 2020 01:27

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