Author

Ye Na Kim

Kangwon National University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Byung Joon HwangiD· 1 shared Dohyun HaniD· 1 shared Gi Hyun Shin· 1 shared Hee‐Jung ChoiiD· 1 shared Jeongha LeeiD· 1 shared Murim ChoiiD· 1 shared Seon Ju Park· 1 shared Seong Kyun Park· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperGenetics

Byung Joon HwangORCID

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1 paper

Recent·Most cited

Functional dissection of SPOP on the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis

Seong Kyun Park, Jeongha Lee, Seon Ju Park, Ye Na Kim, Gi Hyun Shin, Dohyun Han, Hee‐Jung Choi, Byung Joon Hwang, Murim Choi

The paper uses deep mutational screening to analyze SPOP variants, identifying loss-of-function variants enriched in prostate cancer and revealing their structural and genetic characteristics.

Proceedings of the National Academy of Sciences · May 6, 2026Peer-reviewedGenetics