Author

Marlo L. Zorman

University of WashingtonORCID 0009-0002-3295-0150Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 1

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Approach:deep learning· 1 Organism:Drosophila· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

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Christian PhillipsiD· 1 shared David A. C. BeckiD· 1 shared Evan KompiD· 1 shared Humood N. AlanziiD· 1 shared

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2024-2024 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Christian PhillipsORCID

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1 paper

Recent·Most cited

A learnable transition from low temperature to high temperature proteins with neural machine translation

Evan Komp, Christian Phillips, Humood N. Alanzi, Marlo L. Zorman, David A. C. Beck

This paper introduces NOMELT, a neural machine translation model that designs high-temperature stable proteins by learning thermophilicity from protein homologous pairs.

bioRxiv · Feb 6, 2024 · PreprintBioinformatics