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Three hydrolases and a transferase: comparative analysis of active-site dynamics via the BioSimGrid database

Three hydrolases and a transferase: comparative analysis of active-site dynamics via the BioSimGrid database
Three hydrolases and a transferase: comparative analysis of active-site dynamics via the BioSimGrid database
Comparative molecular dynamics (MD) simulations enable us to explore the conformational dynamics of the active sites of distantly related enzymes. We have used the BioSimGrid (http://www.biosimgrid.org) database to facilitate such a comparison. Simulations of four enzymes were analyzed. These included three hydrolases and a transferase, namely acetylcholinesterase, outer-membrane phospholipase A, outer-membrane protease T, and PagP (an outer-membrane enzyme which transfers a palmitate chain from a phospholipid to lipid A). A set of 17 simulations were analyzed corresponding to a total of ~0.1 µs simulation time. A simple metric for active-site integrity was used to demonstrate the existence of clusters of dynamic conformational behaviour of the active sites. Small (i.e. within a cluster) fluctuations appear to be related to the function of an enzymatically active site. Larger fluctuations (i.e. between clusters) correlate with transitions between catalytically active and inactive states. Overall, these results demonstrate the potential of a comparative MD approach to analysis of enzyme function. This approach could be extended to a wider range of enzymes using current high throughput MD simulation and database methods.
biomolecular simulation, database, data mining, molecular dynamics, catalytic triad, conformational change
1093-3263
896-902
Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Baaden, Marc
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Murdock, Stuart
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Wu, Bing
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Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
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Boardman, Richard
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Fangohr, Hans
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Cox, Katherine
67fa92c0-02c5-4c9f-a4e2-d4b24db0b127
Essex, Jonathan W.
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Sansom, Mark S.P.
ed30b4fc-bc73-4ad7-8c56-f51a67136e4e
Tai, Kaihsu
363c10d0-8583-4bea-bc0f-5be75142e5de
Baaden, Marc
83a72d6b-69ed-4375-90d7-e81fb0a8c068
Murdock, Stuart
352e1d8a-2d79-4bc0-a47c-025715bec117
Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Ng, Muan Hong
6cdc5c67-aaa2-4153-b64c-3491ad848fce
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Boardman, Richard
5818d677-5732-4e8a-a342-7164dbb10df1
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Cox, Katherine
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Essex, Jonathan W.
1f409cfe-6ba4-42e2-a0ab-a931826314b5
Sansom, Mark S.P.
ed30b4fc-bc73-4ad7-8c56-f51a67136e4e

Tai, Kaihsu, Baaden, Marc, Murdock, Stuart, Wu, Bing, Ng, Muan Hong, Johnston, Steven, Boardman, Richard, Fangohr, Hans, Cox, Katherine, Essex, Jonathan W. and Sansom, Mark S.P. (2007) Three hydrolases and a transferase: comparative analysis of active-site dynamics via the BioSimGrid database. Journal of Molecular Graphics and Modelling, 25 (6), 896-902. (doi:10.1016/j.jmgm.2006.08.010).

Record type: Article

Abstract

Comparative molecular dynamics (MD) simulations enable us to explore the conformational dynamics of the active sites of distantly related enzymes. We have used the BioSimGrid (http://www.biosimgrid.org) database to facilitate such a comparison. Simulations of four enzymes were analyzed. These included three hydrolases and a transferase, namely acetylcholinesterase, outer-membrane phospholipase A, outer-membrane protease T, and PagP (an outer-membrane enzyme which transfers a palmitate chain from a phospholipid to lipid A). A set of 17 simulations were analyzed corresponding to a total of ~0.1 µs simulation time. A simple metric for active-site integrity was used to demonstrate the existence of clusters of dynamic conformational behaviour of the active sites. Small (i.e. within a cluster) fluctuations appear to be related to the function of an enzymatically active site. Larger fluctuations (i.e. between clusters) correlate with transitions between catalytically active and inactive states. Overall, these results demonstrate the potential of a comparative MD approach to analysis of enzyme function. This approach could be extended to a wider range of enzymes using current high throughput MD simulation and database methods.

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Published date: 2007
Keywords: biomolecular simulation, database, data mining, molecular dynamics, catalytic triad, conformational change

Identifiers

Local EPrints ID: 44165
URI: http://eprints.soton.ac.uk/id/eprint/44165
ISSN: 1093-3263
PURE UUID: 4175cc94-65ce-4a7a-b515-b18210955c75
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Richard Boardman: ORCID iD orcid.org/0000-0002-4008-0098
ORCID for Hans Fangohr: ORCID iD orcid.org/0000-0001-5494-7193
ORCID for Jonathan W. Essex: ORCID iD orcid.org/0000-0003-2639-2746

Catalogue record

Date deposited: 19 Feb 2007
Last modified: 16 Mar 2024 03:36

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Contributors

Author: Kaihsu Tai
Author: Marc Baaden
Author: Stuart Murdock
Author: Bing Wu
Author: Muan Hong Ng
Author: Steven Johnston ORCID iD
Author: Hans Fangohr ORCID iD
Author: Katherine Cox
Author: Mark S.P. Sansom

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