Author

Yiqun Yu

Shanghai Medical College of Fudan UniversityORCID 0000-0001-5256-7082Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Jérôme GolebiowskiiD· 2 shared Jody PacaloniD· 2 shared Lun XuiD· 2 shared Xiaojing CongiD· 2 shared Chanyi LuiD· 1 shared Christine BelloiriD· 1 shared Claire A. de MarchiD· 1 shared Dawei Wang· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMolecular Biology

Jérôme GolebiowskiORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 28, 2026

An oxytocin-gated circuit from the hypothalamus silences olfactory tubercle neurons to drive prosocial grooming

YanBiao Zhong, Jian Yang, Yize Qi…·Yun Feng Zhang

The paper identifies an oxytocinergic circuit from the paraventricular hypothalamus to the medial olfactory tubercle that drives prosocial grooming in mice by inhibiting mOT neurons via OXTR and GIRK channels.

DOI 10.64898/2026.03.27.714758

mouseexperimental assay

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Molecular BiologyJournal of Biological ChemistryPeer-reviewedAug 1, 2022

Extracellular loop 2 of G protein-coupled olfactory receptors is critical for odorant recognition

Yiqun Yu, Zhenjie Ma, Jody Pacalon…·Xiaojing Cong

This study shows that ECL2 in GPCRs is crucial for odorant recognition and promiscuity, enabling virtual screening of ligands with high success.

28 citations

statistical model

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BioinformaticsbioRxivPreprintJan 6, 2020

Functions of olfactory receptors are decoded from their sequence

Xiaojing Cong, Wenwen Ren, Jody Pacalon…·Jérôme Golebiowski

The paper uses machine learning to predict olfactory receptor-odorant pairs and basal activity from sequence data, identifying key residues that determine selectivity and activity.

5 citations

protein sequencemachine learning (classical)

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