Author

Fei Ye

ByteDance (China)ORCID 0000-0002-4268-7256Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Fei Ye6 papers · Baylor College of Medicine

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:cryo-EM· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Amit SingeriD· 1 shared Carlos Óscar S. SorzanoiD· 1 shared Danqing WangiD· 1 shared David HerrerosiD· 1 shared David Silva-SáncheziD· 1 shared Eduardo R. Cruz-ChúiD· 1 shared Elena SeiradakeiD· 1 shared Ellen D. ZhongiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

Amit SingerORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

The schizophrenia associated protein DISC1 is a multivalent tetrameric hub of conserved ancient fold

Jin Chuan Zhou, Jiří Kratochvíl, Fei Ye, Kamel El Omari, Philipp Kukura, Mingjie Zhang, Elena Seiradake

This study presents the cryo-EM structure of DISC1, revealing its homotetrameric architecture and its ability to bind multiple partner proteins.

bioRxiv · Jan 30, 2026 · PreprintNeuroscience

The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge

Miro A. Astore, Geoffrey Woollard, David Silva-Sánchez, Wenda Zhou, Mykhailo Kopylov, Khanh Dao Duc, Roy R. Lederman, Yilai Li, Yi Zhou, Jing Yuan, Fei Ye, Quanquan Gu, Rémi Vuillemot, Slavica Jonić, Lan Dang, , Sonya M. Hanson

The paper presents a cryo-EM conformational heterogeneity challenge to evaluate and improve methods for analyzing molecular motions in heterogeneous samples.

bioRxiv · Jul 18, 2025 · PreprintBiophysics

On Pre-trained Language Models for Antibody

Danqing Wang, Fei Ye, Zhou Hao

The paper evaluates pre-trained language models for antibody tasks, introduces an evaluation benchmark, and investigates their performance and benefits in real-world applications.

bioRxiv · Jan 29, 2023 · PreprintBioinformatics