Author

Young‐In Chi

Medical College of WisconsinORCID 0000-0001-9220-9511Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Angela MathisoniD· 1 shared Brian C. SmithiD· 1 shared Brian F. VolkmaniD· 1 shared Davin R. JenseniD· 1 shared Gwen Alyce LomberkiD· 1 shared Michael T. ZimmermanniD· 1 shared Raul A. UrrutiaiD· 1 shared Salomão Dória JorgeiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperGenomics

Angela MathisonORCID

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1 paper

Recent·Most cited

GenomicsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2023

A Multi-Layered Computational Structural Genomics Approach Enhances Domain-Specific Interpretation of Kleefstra Syndrome Variants in EHMT1

Young‐In Chi, Salomão Dória Jorge, Davin R. Jensen…·Raul A. Urrutia

This paper classifies EHMT1 variants into structural, dynamic, and combined structural-dynamic categories using computational methods to improve variant interpretation for Kleefstra syndrome.

5 citations

humanprotein structure

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