Author

Conan Juan

Duke UniversityORCID 0000-0002-0202-4298Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Aashutosh VihaniiD· 2 shared Claire A. de MarchiD· 2 shared Hiroaki MatsunamiiD· 2 shared Dan Takase· 1 shared Hsiu-Yi LuiD· 1 shared John PearsoniD· 1 shared Maíra H. NagaiiD· 1 shared Maira Nagai· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersMolecular Biology

Aashutosh VihaniORCID

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2 papers

Recent·Most cited

Decoding Smell from Receptor Structure

Hiroaki Matsunami, Hsiu-Yi Lu, Aashutosh Vihani, Maira Nagai, Xiaoyang Hu, Dan Takase, Conan Juan, Claire A. de March

The paper trains a deep learning model to predict odorant receptor-ligand interactions using structural and functional data, revealing structural determinants of ligand selectivity.

bioRxiv · Apr 24, 2026 · PreprintMolecular Biology

Encoding of odors by mammalian olfactory receptors

Aashutosh Vihani, Maíra H. Nagai, Conan Juan, Claire A. de March, Xiaoyang Serene Hu, John Pearson, Hiroaki Matsunami

The paper identifies odorant ligands for over 500 mouse olfactory receptors and shows that molecular properties of odorants predict receptor responses and selectivity.

bioRxiv · Dec 27, 2021 · PreprintNeuroscience