Using MD simulations to understand the impact of directed evolution on oxygen affinity in amine oxidases

Mutants of the amine oxidase from Aspergillus niger were tested to ascertain the need for molecular oxygen across the family of mutant enzymes. Two of the variants were selected, namely D5 and D11, which had 5 and 10 mutations, respectively, versus the wild type. Experimental observations showed a difference in oxygen requirements between variants. Molecular dynamics simulations were then used to give a potential explanation for this difference in observed activity at a molecular level.

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Research Explorer (The University of Manchester)
Published
2026-01-07
Primary Topic
Microbial metabolism and enzyme function
Type
article
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article

Using MD simulations to understand the impact of directed evolution on oxygen affinity in amine oxidases

Jonathan P. Dolan, Christopher M. Field, J. Madsen, Sebastian C. Cosgrove et al.
Research Explorer (The University of Manchester)
Microbial metabolism and enzyme function
article

Using MD simulations to understand the impact of directed evolution on oxygen affinity in amine oxidases

Jonathan P. Dolan, Christopher M. Field, J. Madsen, Sebastian C. Cosgrove, Rowan Lindeque, Sam; id_orcid 0000-0003-3274-0938 Hay, John M. Woodley, Nicholas; id_orcid 0000-0002-8708-0781 Turner
article en

Abstract

Mutants of the amine oxidase from Aspergillus niger were tested to ascertain the need for molecular oxygen across the family of mutant enzymes. Two of the variants were selected, namely D5 and D11, which had 5 and 10 mutations, respectively, versus the wild type. Experimental observations showed a difference in oxygen requirements between variants. Molecular dynamics simulations were then used to give a potential explanation for this difference in observed activity at a molecular level.

Research Explorer (The University of Manchester)
University Teaching Hospital (ZM), International Teaching University of Georgia (GE), Computational Physics (United States) (US)
Openalex Percentile: Top 21%
Microbial metabolism and enzyme function
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