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Mapping of Amino Acid Substitutions Conferring Herbicide Resistance in Wheat Glutathione Transferase
Stockholm University, Faculty of Science, Department of Neurochemistry.ORCID iD: 0000-0002-6416-064X
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2015 (English)In: ACS Synthetic Biology, ISSN 2161-5063, Vol. 4, no 3, 221-227 p.Article in journal (Refereed) Published
Abstract [en]

We have used design of experiments (DOE) and systematic variance to efficiently explore glutathione transferase substrate specificities caused by amino acid substitutions. Amino acid substitutions selected using phylogenetic analysis were synthetically combined using a DOE design to create an information-rich set of gene variants, termed infologs. We used machine learning to identify and quantify protein sequence-function relationships against 14 different substrates The resulting models were quantitative and predictive, serving as a guide for engineering of glutathione transferase activity toward a diverse set of herbicides Predictive quantitative models like those presented here have broad applicability for bioengineering.

Place, publisher, year, edition, pages
2015. Vol. 4, no 3, 221-227 p.
Keyword [en]
synthetic biology, machine learning, design of experiment, enzymes, sequence space, optimization, bioengineering, herbicide resistance
National Category
Chemical Sciences Biological Sciences
URN: urn:nbn:se:su:diva-116635DOI: 10.1021/sb500242xISI: 000351565600004PubMedID: 24905764OAI: diva2:807602


Available from: 2015-04-24 Created: 2015-04-22 Last updated: 2015-09-04Bibliographically approved

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Mannervik, Bengt
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