Author

Jody Mou

Harvard–MIT Division of Health Sciences and Technology

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

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Azim M. DharaniiD· 1 shared Diangen LiniD· 1 shared Eric S. FischeriD· 1 shared Fei CheniD· 1 shared Franziska L. SendkeriD· 1 shared Jing Wesley LeongiD· 1 shared Kaia SlawiD· 1 shared Katherine A. DonovaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Azim M. DharaniORCID

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1 paper

Recent·Most cited

Deep-learning-based design of an orthogonal self-labeling protein from K-Ras(G12C)

Jody Mou, Jing Wesley Leong, Sean Gao, Kaia Slaw, Michael McGill, Katherine A. Donovan, Rebecca J. Metivier, Franziska L. Sendker, Qi Kong, Diangen Lin, Azim M. Dharani, Xi Dawn Chen, Kevin M. Haigis, Eric S. Fischer, Fei Chen, Nicholas F. Polizzi

This paper designs an orthogonal self-labeling protein, LUCI-tag, using deep learning, which enables rapid and payload-agnostic labeling of proteins in live cells.

bioRxiv · Sep 29, 2026 · PreprintBioengineering