Author

Ji‐Sun Kim

Research Institute of the McGill University Health CentreORCID 0000-0002-4863-9773Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:diffusion model· 1

Frequent Co-Authors

Atina G. CotéiD· 2 shared Dae‐Kyum KimiD· 2 shared Hunsang LeeiD· 2 shared Kenneth A. MatreyekiD· 2 shared Kyeong Beom JoiD· 2 shared Saba SaneiD· 2 shared Andrei V. BakiniD· 1 shared Blake L. TsuiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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2 shared papersNeuroscience

Atina G. CotéORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Mapping Parkinson's Disease Progression through Deep Plasma Proteomics and Functional Genomics

Ji‐Sun Kim, Chanhee Jeong, Maria Seo-Hyun Kim, Hye‐Yeon Kim, Seungmin Lee, Kyeong Beom Jo, Wen Luo, Irina Shlaifer, Su Hyeon Ha, Saba Sane, Kyung Ah Woo, Emma J. Lee, Youngjin Lee, Sooyeon Chae, Jisu Han, , Han‐Joon Kim

This study identifies plasma protein biomarkers and mechanistic pathways in Parkinson's disease using deep proteomics and functional genomics.

bioRxiv · Jun 25, 2026 · PreprintNeuroscience

A Proteome-Wide Gain-of-Function Atlas Mapping the Landscape of Chemotherapy Response

Kyeong Beom Jo, Mohammed Alruwaili, Da-Eun Kim, Yongjun Koh, H Kim, Kwontae You, Ji‐Sun Kim, Saba Sane, Yanqi Guo, Jacob P Wright, Maricris N. Naranjo, Atina G. Coté, Frederick P. Roth, DAVID EDWIN HILL, Jung‐Hyun Choi, , Dae‐Kyum Kim

This study creates a proteome-wide gain-of-function atlas to map chemotherapy responses and identifies drug combinations to overcome resistance.

bioRxiv · Sep 2, 2025 · PreprintSystems Biology

ProteinSGM: Score-based generative modeling for de novo protein design

Jin Seop Lee, Ji‐Sun Kim, Philip M. Kim

This paper introduces ProteinSGM, a score-based diffusion model for de novo protein design, showing it can generate native-like structures and perform conditional design.

Nature Computational Science · May 4, 2023Peer-reviewedBioinformatics