Author

Isaac Donnell

The University of Texas at Austin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Synthetic Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Andrew D. EllingtoniD· 1 shared Austin W. ColeiD· 1 shared Barrett R. Morrow· 1 shared Daniel J. DiaziD· 1 shared Jimmy GollihariD· 1 shared Raghav ShroffiD· 1 shared Ross T ThyeriD· 1 shared

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2019-2019 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperSynthetic Biology

Andrew D. EllingtonORCID

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1 paper

Recent·Most cited

A structure-based deep learning framework for protein engineering

Raghav Shroff, Austin W. Cole, Barrett R. Morrow, Daniel J. Diaz, Isaac Donnell, Jimmy Gollihar, Andrew D. Ellington, Ross T Thyer

This paper introduces a 3D convolutional neural network for protein engineering that identifies gain-of-function mutations, validated by experimental improvements in protein stability.

bioRxiv · Nov 8, 2019 · PreprintSynthetic Biology