Author

Yilun Du

Massachusetts Institute of TechnologyORCID 0000-0001-6792-5946Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Approach:large language model· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alexander W. RivesiD· 1 shared Basile I. M. WickyiD· 1 shared David A. BakeriD· 1 shared Ila FieteiD· 1 shared Justas DauparasiD· 1 shared Leslie Pack KaelblingiD· 1 shared Lukas F. MillesiD· 1 shared Mirko KlukasiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSynthetic Biology

Alexander W. RivesORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintDec 21, 2022

✦ In-depth digest

Language models generalize beyond natural proteins

Robert Verkuil, Ori Kabeli, Yilun Du…·Alexander W. Rives

A sequence-only protein language model, sampled under a structure-compatibility energy, produced designs of which 152 of 228 tested behaved as soluble monomers, some with no detectable UniRef90 match.

181 citations

protein sequenceprotein structure

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 29, 2021

Fragmented Spatial Maps: State Abstraction and Efficient Planning from Surprisal

Mirko Klukas, Sugandha Sharma, Yilun Du…·Ila Fiete

The paper develops a theory for spatial map fragmentation using surprisal and predicts the existence of 'doorway' cells and improved navigation through complex environments.

3 citations

statistical model

𝕏 PostBluesky