Volume 82, Issue 10 pp. 2353-2363
Article

Glucose oxidase from Penicillium amagasakiense: Characterization of the transition state of its denaturation from molecular dynamics simulations

Guido Todde

Guido Todde

Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden

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Sven Hovmöller

Sven Hovmöller

Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden

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Aatto Laaksonen

Aatto Laaksonen

Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden

Dipartimento di Scienze Chimiche e Geologiche, Cagliari University, Cagliari, Italy

Stellenbosch Institute of Advanced Studies (STIAS), Wallenberg Research Centre at Stellenbosch University, South Africa

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Francesca Mocci

Corresponding Author

Francesca Mocci

Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, Sweden

Dipartimento di Scienze Chimiche e Geologiche, Cagliari University, Cagliari, Italy

Correspondence to: Francesca Mocci, Dipartimento di Scienze Chimiche e Geologiche, Cagliari University, Cagliari, Italy. E-mail: [email protected]Search for more papers by this author
First published: 09 May 2014
Citations: 14

ABSTRACT

Glucose oxidase (GOx) is a flavoenzyme having applications in food and medical industries. However, GOx, as many other enzymes when extracted from the cells, has relatively short operational lifetimes. Several recent studies (both experimental and theoretical), carried out on small proteins (or small fractions of large proteins), show that a detailed knowledge of how the breakdown process starts and proceeds on molecular level could be of significant help to artificially improve the stability of fragile proteins. We have performed extended molecular dynamics (MD) simulations to study the denaturation of GOx (a protein dimer containing nearly 1200 amino acids) to identify weak points in its structure and in this way gather information to later make it more stable, for example, by mutations. A denaturation of a protein can be simulated by increasing the temperature far above physiological temperature. We have performed a series of MD simulations at different temperatures (300, 400, 500, and 600 K). The exit from the protein's native state has been successfully identified with the clustering method and supported by other methods used to analyze the simulation data. A common set of amino acids is regularly found to initiate the denaturation, suggesting a moiety where the enzyme could be strengthened by a suitable amino acid based modification. Proteins 2014; 82:2353–2363. © 2014 Wiley Periodicals, Inc.

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