Author

Mats O.J. Sandgren

Swedish University of Agricultural SciencesORCID 0000-0002-2358-4534Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 2 Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Aleksia VaattovaaraiD· 1 shared Anna K KärköneniD· 1 shared Bo NilssoniD· 1 shared Brent E. HarrisoniD· 1 shared Christina M. PayneiD· 1 shared David Eikrem· 1 shared Eduard Johannes KerkhoveniD· 1 shared Emma R. MasteriD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 9 mutual co-author links

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1 shared paperBiochemistry

Aleksia VaattovaaraORCID

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Author profile →

4 papers

Recent·Most cited

Titanium Nanoparticle Regulates Innate Immunity

Jacob J. Whittaker, David Eikrem, Joanna Whittaker, Gulaim A. Seisenbaeva, Karin Fromell, Kristina N. Ekdahl, Bo Nilsson, Mats O.J. Sandgren, Vadim G. Kessler

This paper investigates how titanium nanoparticles regulate innate immunity by suppressing inflammation through interaction with complement C3.

bioRxiv · Jun 13, 2025 · PreprintBiochemistry

A glycerol oxidase from Norway spruce (Picea abies L. Karst.) expands biochemical and structural attributes of the GMC oxidoreductase superfamily

Tanja Paasela, Naike Schwenner, Hongbo Zhao, Mengyi Sun, Topi Haataja, Johanna Karppi, Aleksia Vaattovaara, Emma R. Master, Mats O.J. Sandgren, Anna K Kärkönen, Maija Tenkanen

The paper characterizes PaAOX1, a plant AA3 oxidase from Norway spruce, revealing its unique biochemical activity and structural features within the GMC oxidoreductase superfamily.

bioRxiv · Jan 6, 2025 · PreprintBiochemistry

Machine learning reveals sequence-function relationships in family 7 glycoside hydrolases

Japheth E. Gado, Brent E. Harrison, Mats O.J. Sandgren, Jerry Ståhlberg, Gregg T. Beckham, Christina M. Payne

This study uses machine learning to identify sequence features that predict functional subtypes and CBM presence in GH7 glycoside hydrolases with high accuracy.

Journal of Biological Chemistry · Jul 1, 2021Peer-reviewedBioinformatics

Genome-scale model of Rhodotorula toruloides metabolism

Ievgeniia Tiukova, Sylvain Prigent, Jens Nielsen, Mats O.J. Sandgren, Eduard Johannes Kerkhoven

The paper presents rhto-GEM, the first genome-scale metabolic model of Rhodotorula toruloides, which accurately predicts growth and identifies genetic targets for improving lipid production.

Biotechnology and Bioengineering · Sep 10, 2019Peer-reviewedSystems Biology