Author

Bryce Johnson

University of MinnesotaORCID 0000-0002-4564-2977Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:protein design· 2 Assay:protein sequence· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alexander W. GolinskiiD· 1 shared Anthony GitteriD· 1 shared Arnav SharmaiD· 1 shared Benjamin J. HackeliD· 1 shared Chase R. FreschliniD· 1 shared Diya Saha· 1 shared Gregory H. Nielsen· 1 shared John Peters· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alexander W. GolinskiORCID

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2 papers

Recent·Most cited

Biophysics-based protein language models for protein engineering

Sam Gelman, Bryce Johnson, Chase R. Freschlin, Arnav Sharma, Sameer D’Costa, John Peters, Anthony Gitter, Philip A. Romero

This paper introduces METL, a protein language model that integrates biophysical modeling with machine learning to predict protein properties and design functional variants.

Nature Methods · Sep 1, 2025Peer-reviewedBioinformatics

Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation

Alexander W. Golinski, Zachary D. Schmitz, Gregory H. Nielsen, Bryce Johnson, Diya Saha, Sandhya Appiah, Benjamin J. Hackel, Stefano Martiniani

This paper predicts and interprets protein developability using transfer learning on a high-throughput dataset of engineered protein variants.

ACS Synthetic Biology · Aug 29, 2023Peer-reviewedBioinformatics