Author

Brent E. Harrison

University of KentuckyORCID 0000-0002-1301-5928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Christina M. PayneiD· 1 shared Gregg T. BeckhamiD· 1 shared Japheth E. GadoiD· 1 shared Jerry StåhlbergiD· 1 shared Mats O.J. SandgreniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Christina M. PayneORCID

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1 paper

Recent·Most cited

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